Question

Find an incorrect answer when interpreting the results from the following example. Regression Analysis r2 0.726 r 0.852 Std. Error 4.632 Dep. Var ANOVA table Source SS MS F E p-value Regression 284.4315 13.26 .0149 284.4315 107 2828 Residual 21.4566 391.7143 c onfidence interval Regression output variables coefficients Intercept 68.6967 std. error (df=5) P-value 4.1937 16.381 1.55E-05 0.78463.6410140 95% lower 95% upper 57.9164 7 9.4770 0.83974 .8734 70 2.8566 NE Regression line is useful only if the correlation coefficient is significant. None of the above. 27.4% of the variation cannot be explained by the regression line using the independent variable, 72.6% of the variation is explained by the regression line using the independent variable.

If the words are too small:

Find an INCORRECT answer when interpreting the results from the following example.

- regression line is useful only if the correlation coefficient is significant

-none of the above

-27.4% of the variation CANNOT be explained by the regression line using the independent variable.

-72.6% of the variation IS explained by the regression line using the independent variable.

Answer 1

ANSWER

INCORRECT answer is regression line is useful only if the correlaiton is significant.

Because regression is a broader prospective of study which fit the observed value and estimated value. Correlation have more limitations as it is not for quadratic equations and so on.