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Sig Tailed

In: Other Topics

Submitted By roshaanni
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Pages 5
How do I interpret data in SPSS for Pearson's r and scatter plots
Correlations Box Take a look at the first box in your output file called Correlations. You will see your variable names in two rows. In this example, you can see the variable name ‘water’ in the first row and the variable name ‘skin’ in the second row. You will also see your two variable names in two columns. See the variable names ‘water’ and ‘skin’ in the columns on the right? You will see four boxes on the right hand side. These boxes will all contain numbers that represent variable crossings. For example, the top box on the right represents the crossing between the ‘water’ variable and the ‘skin’ variable. The bottom box on the left also happens to represent this crossing. These are the two boxes that we are interested in. They will have the same information so we really only need to read from one. In these boxes, you will see a value for Pearson’s r, a Sig. (2-tailed) value and a number (N) value. Pearson’s r You can find the Pearson’s r statistic in the top of each box. The Pearson’s r for the correlation between the water and skin variables in our example is 0.985.

When Pearson’s r is close to 1… This means that there is a strong relationship between your two variables. This means that changes in one variable are strongly correlated with changes in the second variable. In our example, Pearson’s r is 0.985. This number is very close to 1. For this reason, we can conclude that there is a strong relationship between our water and skin variables. However, we cannot make any other conclusions about this relationship, based on this number. When Pearson’s r is close to 0… This means that there is a weak relationship between your two variables. This means that changes in one variable are not correlated with changes in the second variable. If our Pearson’s r were 0.01, we

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