A researcher estimates a regression to test the effect of educational attainment ($X_i$) on the average earnings of individuals ($Y_i$). The sample correlation coefficient ($r$) between years of educational attainment and the average earnings of individuals from a sample of 85 individuals was calculated to be 0.29. The value of the regression $R^2$ will be 0.08 . (Round your answer to two decimal places.) The value of $R^2$ indicates that the regressor (years of educational attainment) is not very good at predicting the regressand (average earnings of individuals).
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29 \), \( R^2 = (0.29)^2 = 0.0841 \) ** Show more…
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A researcher estimates a regression to test the effect of educational attainment (Xi) on the average earnings of individuals (Yi). The sample correlation coefficient (r) between years of educational attainment and the average earnings of individuals from a sample of 105 individuals was calculated to be 0.21. The value of the regression R^2 will be 0.04. (Round your answer to two decimal places.) The value of R^2 indicates that the regressor (years of educational attainment) is at predicting the regressand (average earnings of individuals).
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