If the coefficient of correlation is 0.8, the percentage of variation in the dependent variable explained by the estimated regression equation is
a. 0.80%
b. 80%
c. 0.64%
d. 64%
If the coefficient of correlation is 0.8, the percentage of variation in the dependent variable explained by the estimated regression equation is
If the coefficient of correlation is 0.65, the percentage of variation in the dependent variable explained by the estimated regression equation is a. 0.65% b. 80% c. 0.42% d. 42.2%
The proportion of the variation in the dependent variable y that is explained by the estimated regression equation is measured by the _____. a. correlation coefficient b. coefficient of determination c. confidence interval estimate d. standard error of t
If the cost equation yields a coefficient of determination of 77%, it means that the: a. dependent variable explains 23% of the variability in cost. b. dependent variable explains 77% of the variability in cost. c. independent variable explants 23% of the variability in cost. d. independent variable explains 77% of the variability in cost. The percentage of variability in the dependent variable explained by an independent variable is called the: a. coefficient of correlation. b. coefficient of regression. C....
True or False: The correlation coefficient is the ratio of explained variation to total variation.
The coefficient of a linear regression equation indicates Select one: a. the change in the dependent variable relative to a unit change in the independent variable. b. the change in the independent variable relative to a unit change in the dependent variable. c. the percentage change in the dependent variable relative to a unit change in the independent variable. d. the percentage change in the independent variable relative to a unit change in the dependent variable.
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
IF explained variation is 80 and R^2 =0.8, then total variation is A. 60 B. 80 C.100 D. 120
The correlation coefficient is a summary measure that Select one: a. is of limited use because it fails to indicate the direction of the relationship between the variables. b. indicates the change in Y for a one unit change in X. c. indicates the strength of linear relationship between a pair of quantitative variables. d. indicates the proportion of variation in Y that is explained by the variation in X. e. none of the above. In regression analysis, the F...
Finding Measures of variation. In Exercises find the (a) explained variation (b) unexplained variation, (c) total variation, (d) coefficient of determination, and (e) standard error of estimate se. In each case, there is a significant linear correlation so that it is reasonable to use the regression equation when making predictions.Cholesterol and BMI Refer to the paired cholesterol/BMI data for women as listed in Data Set 1 in Appendix B. (Let x represent the cholesterol levels.)
The multiple correlation of several variables with a dependent variable is a) less than the largest individual correlation. b) equal to the correlation of the dependent variable to the values predicted by the regression equation. c) noticeably less than the correlation of the dependent variable to the values predicted by the regression equation. d) It could take on any value