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1) The following estimated regression model was developed relating yearly income (Y in $1,000s) of 30 individuals with their age (X1) and their gender (X2) (0 if male and 1 if female).
Also provided are SST = 1,200 and SSE = 384.
The yearly income of a 24-year-old male individual is?
2) A regression model between sales (Y in $1,000), unit price (X1 in dollars) and television advertisement (X2 in dollars) resulted in the following function:
For this model SSR = 3500, SSE = 1500, and the sample size is 18.
The coefficient of the unit price indicates that if the unit price is
a) increased by $1 (holding advertising constant), sales are expected to increase by $4,000
b) increased by $1 (holding advertising constant), sales are expected to increase by $3
C) increased by $1 (holding advertising constant), sales are expected to decrease by $3,000
d) decreased by $1 (holding advertising constant), sales are expected to decrease by $3
4) For a multiple regression model, SST = 200 and SSE = 50. The multiple coefficient of determination is
5) 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) 4 degrees of freedom
b) 121 degrees of freedom
c) 135 degrees of freedom
d) 130 degrees of freedom
Below you are given a partial computer output based on a sample of 25 observations.
Coefficient Standard Error
Constant 145 29
X1 20 5
X2 -18 6
X3 4 4
6) In a multiple regression analysis involving 12 independent variables and 166 observations, SSR = 878 and SSE = 122. The coefficient of determination is
7) A regression analysis involved 8 independent variables and 99 observations. The critical value of t for testing the significance of each of the independent variable’s coefficients will have ______ degrees of freedom
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