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BIT 2406
Test 1
1.
All of the following are assumptions of the error terms in the simple linear regression model
except
Error terms indicate a positive autocorrelation.
2.
The following results were obtained as a part of simple regression analysis:
r
2
= .9162
F statistic from the F table = 3.59
Calculated value of F from the ANOVA table = 81.87
!
= .05
pvalue = .000
The null hypothesis of no linear relationship between the dependent variable and the independent
variable
is rejected
3.
For the same set of observations on a specified dependent variable two different independent
variables were used to develop two separate simple linear regression models. A portion of the
results is presented below.
Model 1
Model 2
r
2
= .92
r
2
= .85
s = 1.65
s =
1.91
Based on the results given above, we can conclude that:
A prediction based on Model 1 is better than a prediction based on Model 2.
4.
The simple linear regression (least squares method) minimizes:
SSE
5.
The range of feasible values for the multiple coefficient of determination is from
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 Summer '07
 LLClark

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