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In its continuing study of the 3-For-All subscription solicitation process, a ma

ID: 2907334 • Letter: I

Question

In its continuing study of the 3-For-All subscription solicitation process, a marketing department team wants to test the effects of two types of structured sales presentations (personal formal and personal informal) and the number of hours spent on telemarketing on the number of new subscriptions. The staff has recorded these data for the past 24 weeks in AMS14. Analyze these data and develop a multiple regression model to predict the number of new subscriptions for a week, based on the number of hours spent on telemarketing and the sales presentation type. Write a report, giving detailed findings concerning the regression model used. (Using Excel PHSTAT)

1

Week New Subscription Hours Presentation

1

1256 282 Formal 2 1405 336 Formal 3 1104 232 Formal 4 1333 321 Informal 5 975 261 Informal 6 769 212 Formal 7 585 162 Formal 8 923 266 Informal 9 1118 269 Formal 10 567 185 Informal 11 808 191 Formal 12 1005 226 Formal 13 1366 331 Informal 14 1180 311 Informal 15 851 222 Formal 16 848 227 Informal 17 1033 257 Formal 18 666 193 Formal 19 1289 325 Formal 20 840 216 Informal 21 995 251 Formal 22 1437 345 Informal 23 1133 286 Informal 24 1228 263 Formal

Explanation / Answer

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.959782095

R Square 0.921181669

Adjusted R Square 0.913675162

Standard Error 74.89636127

Observations 24

ANOVA

df SS MS F Significance F

Regression 2 1376761.736 688380.8682 122.7177417 2.59768E-12

Residual 21 117798.7636 5609.464931

Total 23 1494560.5

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept -277.0200768 89.06006307 -3.110485971 0.005293533 -462.2306169 -91.8095366 -462.2306169 -91.8095366

Hours 4.864387329 0.312306521 15.57568289 5.19292E-13 4.214910365 5.513864293 4.214910365 5.513864293

Presentation' 96.37228728 32.4439516 2.97042384 0.007298234 28.90139636 163.8431782 28.90139636 163.8431782

1) So the equation of the regression is

New subscriptions = -277.02 + 4.86*Hours + 96.37*Presentation

Presentation = 1 if Formal otherwise 0

2) Coefficient of determination R^2 = 92.11%. So 92.11% of the variation in the dependent variable is explained by the variation in Hours and Presentation.

3) The formal presentation has 96.37 subscriptions more when the presentation is informal.

4) For every one hour increase, new subscriptions also increase by 4.86