Show transcribed image text 1. In regression and correlation analysis, the measure whose values are restricted to the range -1 to +1, inclusive, is the a. coefficient of determination c. y intercept of the regression line b. slope of the regression line d. correlation coefficient 2. The quantity o;-ãŒis called the sum of square. a. least c. total b. explained d. unexplained 3. If, in the regression model, b-0, we say there is linear relationship between X and Y. b. a significant d. no a. an inverse c. a direct 4. If, in the regression model, b is negative, we say there is linear relationship between X and Y. b. a significant d. no a. an inverse c. a direct 5. The sum of square is a measure of the total variability in the observed values of Y that is accounted for by the linear relationship between the observed values of X and Y a. unexplained c. error b. total d. explained
1. In regression and correlation analysis, the measure whose values are restricted to the range -1 to +1, inclusive, is the a. coefficient of determination c. y intercept of the regression line b. slope of the regression line d. correlation coefficient 2. The quantity o;-ãŒis called the sum of square. a. least c. total b. explained d. unexplained 3. If, in the regression model, b-0, we say there is linear relationship between X and Y. b. a significant d. no a. an inverse c. a direct 4. If, in the regression model, b is negative, we say there is linear relationship between X and Y. b. a significant d. no a. an inverse c. a direct 5. The sum of square is a measure of the total variability in the observed values of Y that is accounted for by the linear relationship between the observed values of X and Y a. unexplained c. error b. total d. explained
