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Correlations ACTcommosites ACTComposite2 732 ACTMalhSco Pearson Correlation Sig (2tailed) 49 49 49 732 Sig (2-failed) 49 49 4

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For the given scenario, there is a significant relationships exists between three variables. We can regress one variable with another two variables for the prediction of one variable. By using two variables, we can find the value for remaining variable by using the linear regression model. So, principle of regression to the mean is used here.

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Correlations ACTcommosites ACTComposite2 732 ACTMalhSco Pearson Correlation Sig (2tailed) 49 49 49 732 Sig (2-failed) 49 49 49 ACComposite24 Pearson Correlation 808 656 Sig. (2-tailed) 49 49 49 &#...
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