 1 
BUAD 310 InClass Practice
11/3/09
Regression Analysis: pagecost versus circ
The regression equation is
pagecost =
Predictor
Coef
SE Coef
T
P
Constant
21612
2568
circ
4.9268
0.5342
S =
RSq =
Analysis of Variance
Source
DF
SS
MS
F
P
Regression
16098031920
0.000
Residual Error
189255921
Total
47
24803804282
Predicted Values for New Observations
New
Obs
Fit
SE Fit
95% CI
95% PI
1
2243
(41731, 50760)
(18189, 74303)
Values of Predictors for New Observations
New
Obs
circ
1
5000
Questions:
1.
What is the leastsquares regression equation to predict Pagecost from Circulation?
2.
Is Circulation a statistically useful variable in predicting Pagecost? Justify your answer.
3.
Is it likely that the regression line goes through the origin?
4.
What percent of variation in Pagecost can be explained by Circulation?
5.
Is it possible that the intercept could be 20,000?
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6.
What is the estimate of the standard deviation of the error term in the simple linear regression model?
7.
How much unexplained variance (SSE) is left about Pagecost after accounting for Circulation?
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 Business, Regression Analysis, Errors and residuals in statistics, Source Regression Residual, Variance Source Regression

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