Reference no: EM1313573
1.In a regression model involving 44 observations, the following estimated regression equation was obtained.
= 29 + 18X1 + 43X2 + 87X3
For this model SSR = 600 and SSE = 400. The coefficient of determination for the above model is
a. 0.667
b. 0.600
c. 0.336
d. 0.400
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:
= 7 - 3X1 + 5X2
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 $3
b. decreased by $1 (holding advertising constant), sales are expected to decrease by $3
c. increased by $1 (holding advertising constant), sales are expected to increase by $4,000
d. increased by $1 (holding advertising constant), sales are expected to decrease by $3,000
3. In a regression model involving 30 observations, the following estimated regression equation was obtained:
= 17 + 4X1 - 3X2 + 8X3 + 8X4
For this model SSR = 700 and SSE = 100. The coefficient of determination for the above model is approximately
a. -0.875
b. 0.875
c. 0.125
d. 0.144
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