In a multiple regression analysis there are 25 data points a

In a multiple regression analysis, there are 25 data points and 5 independent variables, and the sum of the squared differences between observed and predicted values of y is 160. The multiple standard error of estimate will be: A multiple regression equation includes 6 independent variables, and the coefficient of multiple determination is 0.91. The percentage of the variation in y that is explained by the regression equation is: A multiple regression analysis includes 4 independent variables results in sum of squares for regression of 1400 and sum of squares for error of 600 The multiple coefficient of determination will be: A scatterplot that appears as a shapeless mass of data points indicates: The coefficient of determination (R^2) ranges from to A multiple regression model has the form y = 7 + 2x_1 + 9x_1: As x_1 increases by 1 unit (holding x_2 constant) y is expected to The numerical value o: the coefficient of determination Regression cannot be used to estimate nonlinear relationships.

Solution

1. C. 2.902

2. A. 91%

3. B. 0.700

4. D no relation ship among the variables

5. A 0, +1

6. C. Increase by 2 units

7. B. ia always smaller than the correlation coefficient

8. False