Weekly Gross Revenue ($1,000s) |
Television Advertising ($1,000s) |
Newspaper Advertising ($1,000s) |
---|---|---|
96 | 5 | 1.5 |
90 | 2 | 2 |
95 | 4 | 1.5 |
92 | 2.5 | 2.5 |
95 | 3 | 3.3 |
94 | 3.5 | 2.3 |
94 | 2.5 | 4.2 |
94 | 3 | 2.5 |
(a) Use α = 0.01 to test the hypotheses. find the test statistic and p-value.
x1 | = | television advertising ($1,000s) |
x2 | = | newspaper advertising ($1,000s). |
(b) Use α = 0.05 to test the significance of β1. state the null and alternative hypotheses. find the test statistic and p-value. conclusion. should x1 be dropped from the model?
(c) Use α = 0.05 to test the significance of β2. State the null and alternative hypotheses.
find the test statistic and p-value. state your conclusion. should x2 be dropped from the model?
Applying regression from excel: data: data analysis:
a)
test statistic F =28.38
p value =0.0019 ~ 0.002
b)
null hypothesis: Ho: β1 | = | 0 |
Alternate Hypothesis: Ha: β1 | ≠ | 0 |
test statistic t =7.53
p value =0.0007 ~0.001
No x 1 should not be dropped
c)
null hypothesis: Ho: β2 | = | 0 |
Alternate Hypothesis: Ha: β2 | ≠ | 0 |
test statistic t =4.06
p value =0.0098 ~0.010
no x2 should not be dropped
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