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The Pearson correlation between X1 and Y is r = 0.50.When a second variable,X2,is added to the regression equation,we obtain R2 = 0.60.Adding the second variable increases the variability that is predicted by the regression equation for the Y scores by 36% - 25% = 11%.
P Value
The probability of obtaining test results at least as extreme as the ones observed during the test, assuming that the null hypothesis is true.
Degrees of Freedom
The number of independent pieces of information used to estimate a parameter or calculate a statistic, often linked to the sample size.
P Value
The probability of obtaining test results at least as extreme as the observed results, assuming that the null hypothesis is true.
Statistical Power
Probability of rejecting the null hypothesis when the alternative hypothesis is true.
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