1.In a regression analysis if SSE = 200 and SSR = 300, then the coefficient of d
ID: 3356271 • Letter: 1
Question
1.In a regression analysis if SSE = 200 and SSR = 300, then the coefficient of determination is
a. 0.6667
b. 0.6000
c. 0.4000
d. 1.5000
2.In a regression analysis if SSE = 500 and SSR = 300, then the coefficient of determination is
a. 0.6000
b. 0.1666
c. 1.6666
d. 0.3750
3.If a data set has SST = 2,000 and SSE = 800, then the coefficient of determination is
a. 0.4
b. 0.6
c. 0.5
d. 0.8
4.If the coefficient of correlation is 0.8, the percentage of variation in the dependent variable explained by the estimated regression equation is
a. 0.80%
b. 80%
c. 0.64%
d. 64%
5.If the coefficient of correlation is a positive value, then the slope of the regression line
a. must also be positive
b. can be either negative or positive
c. can be zero
d. None of these answers is correct.
Exhibit 12-2
You are given the following information about y and x.
y x
Dependent Independent
Variable Variable
5 15
7 12
9 10
11 7
6.Refer to Exhibit 12-2. The least squares estimate of b1 equals
a. -0.7647
b. -0.13
c. 21.4
d. 16.412
7.Refer to Exhibit 12-2. The least squares estimate of b0 equals
a. -7.647
b. -1.3
c. 21.4
d. 16.41176
8.Refer to Exhibit 12-2. The sample correlation coefficient equals
a. -86.667
b. -0.99705
c. 0.9941
d. 0.99705
9.Refer to Exhibit 12-2. The coefficient of determination equals
a. -0.99705
b. -0.9941
c. 0.9941
d. 0.99705
Explanation / Answer
Ans 1
SST = SSR+SSE = 500
R^2 = SSR/SST = 300/500 = 0.6 (option B)
ans 2
0.375
ans 3
0.6
PS: We are directed to solve only 1st question if multiple questions are posted
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