Question

__________ refers to the degree of correlation among independent variables in a regression model.

a. Multicollinearity

b. Confidence level

c. Rank

d. Tolerance

__________ is used to test the hypothesis that the values of the regression parameters ß₁, ß_{2, ...}ß_q are all zero.

a. Extrapolation

b. A t test

c. An F test

d. The least squares method

What would be the coefficient of determination if the total sum of squares (SST) is 23.29 and the sum of squares due to regression (SSR) is 10.03?

a. 0.89

b. 0.19

c. 2.32

d. 0.43

What would be the value of the sum of squares due to regression (SSR) if the total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is 6.89?

a. 19.32

b. 15.32

c. 18.43

d. 31.89

A normally distributed error term with a mean of zero would

a. be a hyperbolic curve.

b. have values that are symmetric about the variance.

c. yield biased regression estimates.

d. allow more accurate modeling.

Answer 1

A normally distributed error term with mean of zero would

a) allow more accurate modeling.