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5. A measure of goodness of fit for the estimated regression equation is the a. multiple coefficient of determination b. mean square due to error

5. A measure of goodness of fit for the estimated regression equation is the

a.

multiple coefficient of determination

b.

mean square due to error

c.

mean square due to regression

d.

sample size

6. A regression model involved 5 independent variables and 136 observations. The critical value of t for testing the significance of each of the independent variable's coefficients will have

a.

121 degrees of freedom

b.

135 degrees of freedom

c.

130 degrees of freedom

d.

4 degrees of freedom

7. In a multiple regression analysis involving 15 independent variables and 200 observations, SSyy= 800 and SSE = 240. The coefficient of determination is

a.

0.300

b.

0.192

c.

0.500

d.

0.700

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