QUESTION 18: A mathematical model that describes the linear relationship between a dependent variable (y) and values of an independent variable (x), along with a random error term (e), is called:
A. an estimated regression equation/model
B. a probabilistic model
C. a deterministic model
D. the least squares regression line
QUESTION 19: In linear regression, another name for the independent variables (X) is:
A. dependent variables
B. explained variables
C. predicted variables
D. explanatory variables
QUESTION 20: In a multiple regression analysis involving 15 independent variables (k) and 200 observations (n), SSR = 560 and SSE = 240. The proportion of the total variation in the dependent variable (y) that is explained by the proportion of the variation in the independent variables (x's) is thus:
A. 0.572
B. 0.700
C. 0.300
D. 0.438
QUESTION 21: If the coefficient of determination (R^2) is equal to 0.20, then the percentage of the total variation in the dependent variable (y) that is NOT explained by the variation in the independent variables (x's) is:
A. 0.80
B. 0.80%
C. 0.20%
D. 20%