Statistics 102
Quiz No. 2,
The more people watch television, the more they are exposed to advertising commercials.
A
researcher theorized that seeing more commercials induces one to buy more, thereby leading one
to accumulate greater debt.
To test this theory, the researcher surveyed a sample of families,
recording the number of hours per week a television set is being viewed, and the total family
debt.
The family debt figures are in thousands of dollars in the analysis which follows.
Bivariate Fit of Debt By Television
Summary of Fit
Root Mean Square Error
38.3428
Mean of Response
126.73
Observations (or Sum Wgts)
430
Analysis of Variance
Source
DF
Sum of Squares
Mean Square
F Ratio
Model
1
280491.56
280492
190.7889
Error
428
629231.57
1470
Prob > F
C. Total
429
909723.13
<.0001*
Parameter Estimates
Term
Estimate
Std Error
Intercept
48.5708
5.953
Television
2.56848
0.18595
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1.
The fitted model estimates that
A.
Total family debt increases as weekly television viewing increases, but this result is not
statistically significant.
B.
Total family debt increases significantly as weekly television viewing increases.
C.
Total family debt decreases significantly as weekly television viewing increases.
D.
Total family debt increases significantly as total family spending increases.
E.
Total family debt increases as total family spending increases, but this result is not statistically
significant.
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 Fall '08
 SHAMAN
 Statistics, Normal Distribution, Standard Deviation, family debt increases, Total family debt

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