Free Essay

Quantitative Methods and Analysis Unit 5 Ip

In: Business and Management

Submitted By Abbott
Words 910
Pages 4
Unit 5 – Regression Analysis
American InterContinental University

In this scenario, Microsoft Excel has been utilized in order to perform a regression analysis therefore; each one has a chart in order to show the correlations in the data. However, satisfaction: overall, intrinsic, and extrinsic had been used.

Introduction An analysis has been given to employees for the benefits satisfaction and compared to three different job types such intrinsic, extrinsic, as well as the over all. However, the regression analysis that was performed had been done in excel as well as there were charts made up.
Benefits and Intrinsic Job Satisfaction
Regression output from Excel Regression Statistics
Multiple R 0.022301
R Square 0.000497
Adjusted R Square -0.0093
Standard Error 0.656922
Observations 104 ANOVA df SS MS F Significance F
Regression 1 0.021902 0.021902 0.050753 0.822209
Residual 102 44.01771 0.431546
Total 103 44.03962 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 5.270871 0.348709 15.11541 8.66E-28 4.579209 5.962532 4.579209 5.962532
X Variable 1 0.017947 0.079664 0.225284 0.822209 -0.14007 0.175959 -0.14007 0.175959 It did not want to add my 2 to the answer of 5.962532 or did it add the 9 to the answer of 0.175959

Benefits and Extrinsic Job Satisfaction
Regression output from Excel
Regression Statistics
Multiple R 0.026829
R Square 0.00072
Adjusted R Square -0.00908
Standard Error 0.467616
Observations 104 ANOVA df SS MS F Significance F
Regression 1 0.016065 0.016065 0.073469 0.786899
Residual 102 22.30384 0.218665
Total 103 22.3199 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 5.207915 0.248221 20.98096 8.66E-39 4.71557 5.700261 4.71557 5.700261
X Variable 1 0.015371 0.056707 0.271052 0.786899 -0.09711 0.127849 -0.09711 0.127849
Again the last numbers did not want to show up the first one is 1 for the answer of 5.700261 and the other number that did not show was the 9 for answer of 0.127849.

Benefits and Overall Job Satisfaction
Regression output from Excel Regression Statistics
Multiple R 0.099659
R Square 0.009932
Adjusted R Square 0.000225
Standard Error 0.627644
Observations 104 ANOVA df SS MS F Significance F
Regression 1 0.40308 0.40308 1.023209 0.314153
Residual 102 40.18154 0.393937
Total 103 40.58462 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 4.491866 0.333167 13.48232 2.13E-24 3.831031 5.152701 3.831031 5.152701
X Variable 1 0.076991 0.076113 1.011538 0.314153 -0.07398 0.227962 -0.07398 0.227962
The number of 1did not show for the upper last numbers and it should be 5.157701 and then for the bottom upper 95.0% number of the answer is 2 which should read 0.227962

Key components of the regression analysis Complete the following chart to identify key components of each regression output.
Dependent Variable Slope Y-intercept Equation r^2
0.0179 5.2709 Y=0.0179x+5.2709 0.0005
0.0154 5.2709 Y=0.0154x+5.2079 0.0007
0.077 4.4919 Y=0.077x+4.4919 0.0099

Similarities and Differences
One of the similarity’s is that all three intrinsic, extrinsic, and overall job satisfaction each had a positive correlation. All three of the x variables are all different.
Correlation coefficients The overall job satisfaction would be the strongest correlation since it has a great r² at 0.009932 while the benefits of extrinsic was only 0.0072 it was the lowest of them all and then you have intrinsic with an r² of 0.000497. Therefore since the job satisfaction is the biggest of all three of them and since the data has the most linear of the three (Schmidt, 2000). Perhaps the manager is able to infer an increase into the benefits that the benefits are going to have a more direct increase in the extrinsic job satisfaction as well as it can craft employees benefits packages (Inc., 2010).
When researchers use the correlation statistics as well as the regression they are able to disclose whether there is a connection between each set of data (Malek., S., 2013). Every now and then, the relationships might be causal as well as occasionally or even just coincidence. Utilizing a regression analysis would be helpful in determining how strong as well as what way the relationship exists. In the scenario of the data that was performed here, it seems as the strongest relationship might be that as associates have indicated that they are pretty much content with their benefits, The employees are basically content with their job. Therefore, this might be an useful tool for a manager to utilizing motivated associates and for then figuring out how many on the benefit packages in order to help improve associates morale.

Malek., S., (2013) Retrieved August 24, 2013 from AIU Online learning lab
Schmidt, S. R. (2000). Research methods for the digitally inclined. [general format]. Retrieved August 24, 2013 from

Similar Documents

Premium Essay

Quantitative Methods and Analysis Ip U1

...Unit 1 - Fundamentals of Statistics Jeanna Starr American InterContinental University Abstract A data analysis was done on job satisfaction for the company AIU categorized by age, gender, tenure, position, and department. Overall job satisfaction as well as intrinsic (satisfaction with the actual performance of the job) and extrinsic (office location or work colleagues) job satisfaction were considered in this survey. Introduction AIU assembled a team of researchers to study job satisfaction. I was selected as part of a group to participate in a massive global undertaking. The study required me to examine data and analyze the results. The study consists of job satisfaction, which is extremely important to an organization’s overall success. This particular study will allow managers to gain understanding and knowledge about what type of human behaviors can be used to strengthen an organization’s performance. Chosen Variables I have chosen gender for my qualitative data and intrinsic for my quantitative data. The reason that I have chosen these two variables is because I thought it would be interesting to analyze if males or females were more satisfied with their job, and how the actual job performance reflected their job satisfaction rating. Difference in variable types Qualitative variables include subjects that are non-numerical, such as gender. Quantitative variables include subjects that are numerical and give us a clear visual as to......

Words: 891 - Pages: 4

Premium Essay

Acct310 Unit 5 Ip

...American Intercontinental University Denise Hernandez Unit 5 Assignment 1 1. Investment = when you add $2,000,000 by $1,300,000 it will = $3,300,000 Annual cash inflow = if you take 300 skiers and multiply by 40 days and by $55.00/skier-day = $660,000 Annual cash outflow = (200 days multiplied by $500/day) it will = $100,000 PV of cash flows @ 14% = ($660,000 subtract from $100,000) multiply by 6.6231 it will = $3,708,953 NPV = $3,708,953 subtract by $3,300,000 it will = $408,953 When you have a new lift you will be creating a value of $408,953.00, this value will make an investment that is profitable. 2. After-tax cash flows = $560,000.00 multiply by .6 it will = $336,000.00 PV of after-tax cash flows @ 8% = $336,000 multiply by 9.8181 It will = $3,298,897 PV of tax savings = $3,300,000 multiply by .4 multiply by .7059 (From Exhibit 11-7) = $936,540.00 NPV after-tax = $3,298,897 add $936,540 subtract $3,300,000 it will = $935,43 You will have an investment that will lift more profits after-tax basis. 3. Subjective factors that might affect this decision include Money made on any sales of food, any equipment rented, as well any additional products purchased by the skiers. * You will have an outcome of more happy customers because you will have a less......

Words: 288 - Pages: 2

Premium Essay

Quantitative Methods and Analysis Db 1

...Introduction There are five different data collection methods, using articles I will provide two different examples of data collection. Body             Using an interview to gather data can be a successful way to get the information you need. You can base your interview questions solely on the information you need and want and nothing more. One way to collect information that can be an easy way to gather information that you need with would be to ask close ended questions, with a yes or no answer. This way you can get the information you need and want and not have a lot of excess information that is not needed.            Another way to collect data would be to observe people. You can gather data by observing for multiple things. Clothing styles, colors, hair styles and things of that sort. When observing people to gather data, you need to make sure that you are in a place that has a wide variety of people. If you are observing people in a gym then you will most likely find people in sporting wear rather than wearing jeans. When in a children’s store you may find expectant mothers, grandmothers, young couples, older couples, a wide variety of people. Another place you would find a wide variety of people to observe is a grocery store or big box store.             There are advantages and disadvantages to using each method for collection of data. A few advantages would be that the information relates solely on what is currently happening within that situation. Whoever......

Words: 425 - Pages: 2

Premium Essay

Quantitative Methods and Analysis

...Unit 1 - Fundamentals of Statistics Denise Taylor American InterContinental University Abstract This study shows that children between the ages of 13 or 14 behaviors are affected by the evening work schedules. Mothers who worked at night spent considerably less time with their children and had lower quality home environments, this links to adolescent risky behaviors. Other types of maternal and paternal nonstandard work schedules were linked to higher parental knowledge of children's whereabouts, which led to lower levels of adolescent risky behaviors. These analyses revealed that boys, those in families with low incomes, and those whose mothers never worked at professional jobs may particularly be affected by mothers working at nights, due to spending less time together, having a lower degree of maternal closeness, and experiencing lower quality home environments (Han, W., Miller, D. P., & Waldfogel, J. (2010).   Introduction This article demonstrates how when parents work late night schedules it affects children and causes different behaviors such as; cigarette smoking, alcohol and drug use, sexual activity and poor grades. These work schedules are usually between the hours of 6 p.m. - 3: am) Children whose parents work between the hours of 6 a.m. and 6 p.m. are less likely to have these problems because they are in school or in after school programs. Chosen Variables The variables qualitative which are Boys between the ages of 13- 17, and......

Words: 446 - Pages: 2

Premium Essay

Quantitative Methods and Analysis Unit 1 Db

...Quantitative Methods and Analysis Unit 1 DB Leonidas Murembya July 22, 2013 My first choice is the face-to-face data collection method.The population health surveys trend to rely on five main methods of data collection, the one that I am doing is the Face-to-Face interview. Most of them in this study chose to do the face-to-face interview. The face-to-face is also known as FTF. The face-to-face interview method was done on the Population Surveys of Children’s Health and Wellbeing: Parental Views on Data Collection Content and Methods. (Waters, E., Davis, E (Nee Maher) & Mehmet-Radji, O., 2005-206). The face-to-face interview method could be done one on one or in a group setting. This study had been done on a group from Australian families with the children ranging from zero to twelve years of age. The face-to-face interview method is on their health status in which it has four subgroups for it, one is the health and wellbeing, the second one is the growth and development, third one is the mortality, the fourth one is morbidity and disability, as well as the fifth one is the safety and security. However, other professionals, such as doctors, do other studies and then there are also other kinds of face-to-face interview methods as well depending on what they are looking for in the child. There are several pros and cons for a face-to-face interview method. The cons would be that you would have a variety of communication (technology) (Editorial Board 2012). Then you......

Words: 771 - Pages: 4

Premium Essay

Quantitative Methods and Analysis

...BUSN311-1302A-02 Quantitative Methods and Analysis Unit 3 DB Leah Murray May 13, 2013 While determining a sample size, the researcher would first need to know how many people, otherwise how many animals would be required because if you do not have enough sample size then it will have an cause on the general study conclusion (2006). The arithmetical power, P level as well as the treatment including the error variability is the factors otherwise; it would be the parameters in order to aids the researchers with choosing the correct sample size for the study (2006). The arithmetical power informs us how powerful the contributing people otherwise the animals in the study is going to be affected with the treatment that will be given to each of them. The P level will assist the researchers in determining the probability for any variation within the topic throughout the study (2006). At last, the investigators have determined the accurate sample size established as to whether or not the remedy predictability for the study is larger than the error predictability. In which it means that some more participants might be needed for the study if the researchers determine to facilitate the affect of the treatment that would happen to be smaller than the error variability (2006). Creative researcher systems as well as the raosoft are survey system companies that provides calculators in order to decide the model size intended for the research investigation. However, for a sample size...

Words: 624 - Pages: 3

Free Essay

Unit 5 - Regression Analysis

...Abstract This paper describes the application of regression analysis for the workplace. Three sets of variables are investigated - benefits and intrinsic job satisfaction, benefits and extrinsic job satisfaction, and finally benefits and overall job satisfaction. The regression analysis is performed using Excel and the results are shown in this paper, along with a graph for each set. The results are analyzed for recommendation to the company.   Introduction Regression analysis is performed on three sets of variables – benefits and intrinsic job satisfaction, benefits and extrinsic job satisfaction, and finally benefits and overall job satisfaction. The results of the regression analysis are used to determine whether any relationship exists for the three sets of variables and the strength of the relationship. Benefits and Intrinsic Job Satisfaction Regression output from Excel Regression Statistics Multiple R 0.069642247 R Square 0.004850043 Adjusted R Square -0.004718707 Standard Error 0.893876875 Observations 106 ANOVA df SS MS F Significance F Regression 1 0.404991362 0.404991 0.506863 0.478094147 Residual 104 83.09765015 0.799016 Total 105 83.50264151 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 5.506191723 0.363736853 15.13784 4.79E-28 4.784887914 6.227496 4.784888 6.227496 Benefits -0.057165607 0.080295211 -0.71194 0.478094 -0.216394019 0.102063 -0.21639 0.102063 Graph ......

Words: 770 - Pages: 4

Premium Essay

Finn630 Unit 5 Ip

...process. First the risk level of the foreign market must be assessed, then the impact of that risk on a given investment should be measured. With the recent trend towards globalization increasing the importance of having an reliable measure of political risk there are now many ways in which risk can be assessed. The important factor in most good measures is that both qualitative and quantitative methods are combined to give a complete picture of the risks involved. Most companies making a large foreign investment will spend considerable time and effort reviewing these factors on their own but there are now also World Political Risk Forecasts and other independent tools companies can turn to as well. Once the risk level has been assessed the techniques of accounting for it vary as well. Some companies may choose to raise the discount rate on foreign investments. Others will use a shorter payback period to account for investor fear. Both of these are more general in nature and may not be as accurate as actual risk analysis. The three major techniques incorporating a more thorough analysis of the political risk include adjusting future cash flows to account for potential losses, budgeting in the cost of political risk investment and uses the option valuation theory to derive the cost of political risk (Kamga Wafo, 1998). Please discuss and compare forward vs. backward internalization. Internalization is the movement of assets between subsidiaries of a larger parent......

Words: 744 - Pages: 3

Free Essay

Nt1110 Unit 5 Analysis

...Unit 6 Research Paper 1 Network Attached Storage ITT Tech Network attached storage (NAS) is basically a server that acts as hard drive that’s attached to a network. This connection to a network allows anyone who is also connected to the network the ability to access the hard drive. The NAS come in many sizes and different capabilities. The network connection that the NAS uses can be almost any that are available. The standard Ethernet connection is the most common connection by there are also systems that use a wireless connection or even a fiber optic connection for extremely fast transfer speeds. The storage of NAS systems can vary greatly. There are consumer models with a fixed amount of storage, and then the professional versions that have the capacity of many terabytes that can be upgraded when new drives become available. With the numerous amount of drives the chance of corrupted data and errors is always a possibility. With this possibility manufacturers have included the ability to arrange the drive into a RAID. The different RAID configurations allow users the protection from errors and data loss at the expense of storage space. NAS, unlike normal servers, do not require a keyboard, mouse, or monitor. They are usually managed from a remote terminal accessed via the NAS network connection. Some NAS systems use a web browser interface that uses the user’s web browser to interact with the NAS. Other systems use software that the manufacturer......

Words: 251 - Pages: 2

Premium Essay

Unit 5 Regression Analysis

...Unit 5 Regression Analysis American Intercontinental University Regression Analysis Independent Variable: Benefits Dependent Variable: Intrinsic Regression Statistics |   | Multiple R | 0.252916544 | R Square | 0.063966778 | Adjusted R Square | 0.045966139 | Standard Error | 0.390066747 | Observations | 54 | ANOVA |   |   |   |   |   |   | df | SS | MS | F | Significance F | Regression | 1 | 0.540685116 | 0.540685116 | 3.553583771 | 0.065010363 | Residual | 52 | 7.911907477 | 0.152152067 |   |   | Total | 53 | 8.452592593 |   |   |   |   | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | Intercept | 4.88865703 | 0.188506099 | 25.93368096 | 2.04938E-31 | 4.510391881 | 5.266922187 | 4.510391881 | 5.266922187 | 1.4 | 0.06958624 | 0.036913916 | 1.885095162 | 0.065010363 | -0.004486945 | 0.143659433 | -0.004486945 | 0.143659433 | Independent Variable: Benefits Dependent Variable: Extrinsic Regression Statistics |   | Multiple R | 0.332749251 | R Square | 0.110722064 | Adjusted R Square | 0.093620565 | Standard Error | 0.405766266 | Observations | 54 | ANOVA |   |   |   |   |   |   | df | SS | MS | F | Significance F | Regression | 1 | 1.065986925 | 1.065987 | 6.474407048 | 0.013952455 | Residual | 52 | 8.561605668 | 0.164646 |   |   | Total | 53 | 9.627592593 |   |   |   |   | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower......

Words: 463 - Pages: 2

Free Essay

Unit 5 – Regression Analysis

...Unit 5 – Regression Analysis American InterContinental University Abstract When comparing intrinsic, extrinsic, and overall job satisfaction to which will benefits employees more and have a better result with the satisfaction between the company and the employees to become a successful team. All calculation would be on Excel to determine the regression analysis and graphs the correlation between the all three Introduction When company needs to determine what will work with having happier employees, companies’ uses correlation statistics to help determine which variable value works best. Correlations can be either positive variable value or negative variable value. Using charts and analysis can be useful to determine the results. Regression analysis shows the strengths and weakness of different variables and can help making a decision on which is the strongest variable. Benefits and Intrinsic Job Satisfaction Regression output from Excel [pic] Graph [pic] Benefits and Extrinsic Job Satisfaction Regression output from Excel [pic] Graph [pic] Benefits and Overall Job Satisfaction Regression output from Excel [pic] Graph [pic] Key components of the regression analysis Complete the following chart to identify key components of each regression output. |Dependent Variable |Slope |Y-intercept |Equation |[pic] | |Intrinsic |0.056 ...

Words: 471 - Pages: 2

Premium Essay

Cjus254 Unit 5 Ip

...Environmental Protection Agency. That being said, even though we don’t really have a direct hand in these other SSA run Sectors, we do have an opportunity to assist with any lessons learned in the running of our particular sectors through Critical Infrastructure Cross – Sector Councils, made up of the chair and vice-chair of each SSA. This gives us the ability to not only offer up advice to other SSAs, but also to hear and utilize methods that are currently working for other agencies as well. ( In order to put these complicated processes into perspective, I’ll be giving a few examples of DHS missions that involve coordination between SSAs, State, Local, Tribal, or Territorial agencies, and private enterprise. A very recent and relevant example is security operations for Super Bowl 50. The game was played last night at Levi’s Stadium in Santa Clara, a suburb of San Francisco, California. DHS agencies including the TSA, CBP, ICE, Coast Guard, the Secret Service, FEMA, our Office of Intelligence and Analysis, and our National Protection and Programs Directorate teamed up with local and state law enforcement agencies, as well as security experts employed by the National Football League, as well as regular security guards that work for the stadium in order to ensure the safety of roughly 15 million fans, employees, players, and various other visitors to the event. ......

Words: 1338 - Pages: 6

Free Essay

Quantitative Methods and Analysis

...being the worst and 10 being the best). This survey was based on a three day time period and conducted using the telephone method. Approximately 1,500 adults participated nationwide and has a marginal error of +3%. This survey could be used to evaluate how a person views different situations. By providing more information, an individual can learn if two people who live or work in the same area share the same views on their surroundings (Gallup, 2008). Also a company can use the information gathered in this survey and compare it to previous surveys pertaining the same questions and decide if economics or events in the world, such as war, played a direct affect on how people view their lives. Conclusion: The three surveys that were investigated each included a large demographic area but had few responses. So the information obtained within these surveys cannot be deemed as scientifically accurate. The one survey that does include information that you can use to further research results is the Life Evaluation done by Gallup. This particular survey included a margin of error that would allow for a research to add votes for a more definitive follow up survey. Part 2 My Survey: For the next part of this assignment, a multiple-choice type was chosen (Zoomerang, 2011). The survey conducted was about movies and the ones preferred as well as the viewing method preferred. Twenty people were asked the following questions and their responses was recorded and analyzed within a......

Words: 930 - Pages: 4

Premium Essay

Quantitative Method and Analysis

...Unit 5 – Regression Analysis Lakeia White American InterContinental University Abstract According to NLREG, “the goal of regression analysis is to determine the values of parameters for a function that cause the function to best fit a set of data observations that you provide.” (NLREG) As one continues to read one will find several different regression test that has been processed from AIU data set to assist them with their study on job satisfaction around the world. Introduction The following report contains the required data needed to find the regression analysis, there is three different test that has been processed regression analysis with benefits & intrinsic, regression analysis with benefits & extrinsic, and regression analysis with benefits & overall job satisfaction. As one continues to read one will find the ending results in each equation and how the results will benefit AIU. Benefits and Intrinsic Job Satisfaction Test #1: Regression Analysis-Benefits & Intrinsic: The line equation for the least square regression line is: y = 0.1697x + 4.4278 X = The independent variable which is Benefits’ Y = The corresponding dependent variable which is Intrinsic’ The slope (m) = 0.1697, and the intercept (b) = 4.4278 Therefore the Correlation Coefficient, r = 0.4061 and the Coefficient Determination, [pic] = 0.1649 [pic]. Benefits and Extrinsic Job Satisfaction Test #2: Regression Analysis-Benefits & Extrinsic: The equation for the......

Words: 687 - Pages: 3

Premium Essay

Engl107 Unit 5 Ip

...Unit 5 Individual Project ENGL107-1201B-27 American Intercontinental University Online 03/08/2012 Amanda Reynolds   Abstract This paper will argue the need to reduce juvenile delinquency. It will consider ways to help reduce juvenile delinquency and why it is so important. This paper will give the reader insight about what needs to happen in order to help juveniles be successful and stay out of the juvenile justice system. There will be key agreements that will require the reader’s attention.   Effective Ways to Reduce Juvenile Delinquency A 16-year-old teenager was arrested after a veteran police officer was gunned down in St. Petersburg, Florida. (Fox News, 2011). According to an article by the National Center for Policy Analysis (NCPA) called “Punishing Teen Criminal Like Criminals,” “juveniles were accounting for more than 500,000 serious violent crimes by 1984.” It is expected that while the adults committing homicides is to decline almost by twenty percent the juveniles committing homicides will increase by almost one-fourth. How can the American society mitigate the occurrences of juvenile delinquency? Many approaches have been taken to institutionalize juvenile delinquents and rehabilitate them. As the Mayor of St. Petersburg, Bill Foster said “we as a community need to standup and do a better job.” These occurrences will not stop unless there is a plan and execution established to make it happen. That is why juvenile delinquency must be tackled......

Words: 1246 - Pages: 5