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Submitted By jessica105

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Words 589

Pages 3

Jessica Cain

American InterContinental University

Abstract The world today uses statistics in many different ways to understand numbers and possible outcomes. One way that this is by using regression analysis. The regression analysis which is based on a correlation between two variables can help us to better understand the relationship between the two variables. The process which is a valuable one has helped researchers, and businesses to grow based on information obtained from a regression analysis that contains a linear regression.

Introduction The purpose of a regression analysis is to help show a linear regression of certain variables. This helps to understand the correlation of the variables being tested. Correlation does give reason to suspect that the relationship between two variables is not die to chance or other hidden variables (Editorial Board, [EB], 2012). This is done by utilizing excel to show how the variables match up, and if one is causing the other or if there are outliers that are affecting the outcome. This is important as it will allow for a company to see and eliminate these unnecessary variables and continue their growth.

Benefits and Intrinsic Job Satisfaction

Regression output from Excel

|SUMMARY OUTPUT | | | | |

|Intrinsic |-0.08484 |4.844477 |Y=4.84-0.084x |0.00485 |

|Extrinsic |0.174181 |3.508927 |Y=3.51+0.174x |0.026214 |

|Overall |-0.08135 |4.790078 |Y=4.79-0.08135x |0.006629 |

Similarities and Differences The similarities that are present are...

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