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
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
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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