1. The Y-intercept ( b 0 ) representsthe A)variation around the sample regressio

Question

1. The Y-intercept (b0) representsthe A)variation around the sample regression line.
B)predicted value of Y when X = 0.
C)predicted value of Y.
D)change in estimated average Y per unit change inX.
2. The slope (b1) represents the A)predicted value of Y when X = 0.
B)estimated average change in Y per unit change inX.
C)variation around the line of regression.
D)predicted value of Y.
3. The least squares method minimizes which of thefollowing? A)SST
B)SSE
C)SSR
D)all of the above
4. The standard error of the estimate is a measure of the A)explained variation.
B)variation of the X variable.
C)total variation of the Y variable.
D)variation around the sample regression line.
1. The Y-intercept (b0) representsthe A)variation around the sample regression line.
B)predicted value of Y when X = 0.
C)predicted value of Y.
D)change in estimated average Y per unit change inX.
2. The slope (b1) represents the A)predicted value of Y when X = 0.
B)estimated average change in Y per unit change inX.
C)variation around the line of regression.
D)predicted value of Y.
3. The least squares method minimizes which of thefollowing? A)SST
B)SSE
C)SSR
D)all of the above
4. The standard error of the estimate is a measure of the A)explained variation.
B)variation of the X variable.
C)total variation of the Y variable.
D)variation around the sample regression line.
1. The Y-intercept (b0) representsthe A)variation around the sample regression line.
B)predicted value of Y when X = 0.
C)predicted value of Y.
D)change in estimated average Y per unit change inX.
1. The Y-intercept (b0) representsthe A)variation around the sample regression line.
B)predicted value of Y when X = 0.
C)predicted value of Y.
D)change in estimated average Y per unit change inX.
The Y-intercept (b0) representsthe 2. The slope (b1) represents the A)predicted value of Y when X = 0.
B)estimated average change in Y per unit change inX.
C)variation around the line of regression.
D)predicted value of Y.
2. The slope (b1) represents the A)predicted value of Y when X = 0.
B)estimated average change in Y per unit change inX.
C)variation around the line of regression.
D)predicted value of Y.
The slope (b1) represents the 3. The least squares method minimizes which of thefollowing? A)SST
B)SSE
C)SSR
D)all of the above
3. The least squares method minimizes which of thefollowing? A)SST
B)SSE
C)SSR
D)all of the above
The least squares method minimizes which of thefollowing? 4. The standard error of the estimate is a measure of the A)explained variation.
B)variation of the X variable.
C)total variation of the Y variable.
D)variation around the sample regression line.
4. The standard error of the estimate is a measure of the A)explained variation.
B)variation of the X variable.
C)total variation of the Y variable.
D)variation around the sample regression line.
The standard error of the estimate is a measure of the

Explanation / Answer

1.B 2.B 3.B 4.C 5.D 6.C 9.Referring to Table 13-3, theleast squares estimate of the slope is 2.5 10.Referring to Table 13-3, theleast squares estimate of the Y-intercept is 1 11.Referring to Table 13-3, theprediction for the number of job offers for a person with 2 co-opjobs is 6 12.Referring to Table 13-3, thetotal sum of squares (SST) is 13 13.Referring to Table 13-3, theregression sum of squares (SSR) is 12.5 14.Referring to Table 13-3, theerror or residual sum of squares (SSE) is 0.5 15.Referring to Table 13-3, thecoefficient of determination is 0.96 16.Referring to Table 13-3, thecoefficient of correlation is 0.98 Post the remaining seperatelythen we can answer.

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