A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression analysis shows the following results. Coefficients Standard Error t-Stat p-value Intercept -12.201 6.560 -1.860 0.100 Number of contacts 2.195 0.176 12.505 0.000 ANOVA df MS F Significance F Regression 1.00 |13,555.42 13,555.42 156.38 0.00 Residual 8.00 693.48 86.68 Total 9.00 |14,248.90 Assume that X = 33.4 and E(X – X)´ = 2814. 4. Rounding to one decimal place, the 95% confidence interval for 30 calls is

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A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson
makes and the amount of sales dollars earned. A regression analysis shows the following results.
Coefficients Standard Error
t-Stat
p-value
Intercept
-12.201
6.560
-1.860
0.100
Number of contacts
2.195
0.176
12.505
0.000
ANOVA
df
SS
MS
F
Significance F
Regression
1.00 |13,555.42
13,555.42
156.38
0.00
Residual
8.00
693.48
86.68
Total
9.00 14,248.90
Assume that X = 33.4 and 2(X – X)´ = 2814. 4. Rounding to one decimal place, the 95% confidence interval for 30 calls is
Transcribed Image Text:A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression analysis shows the following results. Coefficients Standard Error t-Stat p-value Intercept -12.201 6.560 -1.860 0.100 Number of contacts 2.195 0.176 12.505 0.000 ANOVA df SS MS F Significance F Regression 1.00 |13,555.42 13,555.42 156.38 0.00 Residual 8.00 693.48 86.68 Total 9.00 14,248.90 Assume that X = 33.4 and 2(X – X)´ = 2814. 4. Rounding to one decimal place, the 95% confidence interval for 30 calls is
Multiple Choice
46.7, 60.6
51.4, 55.9
55.8, 51.5
31.1, 76.2
Transcribed Image Text:Multiple Choice 46.7, 60.6 51.4, 55.9 55.8, 51.5 31.1, 76.2
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