A market researcher is studying on-line subscription services. She is particularly interested in what variables relate to the number of subscriptions for a particular on-line service. She is able to obtain the following sample information on 25 on-line subscription services. The following notation is used: Sub = Number of subscriptions (in thousands) Web page hits = Average monthly count (in thousands) Adv = The advertising budget of the service (in $ hundreds) Price = Average monthly subscription price ($) Service Subscriptions Web Page Hits Adv Price 1 37.95 588.9 13.2 35.1 2 37.66 585.3 13.2 34.7 3 37.55 566.3 19.8 34.8 4 38.78 642.9 17.6 35.1 5 37.67 624.2 17.6 34.6 6 38.23 603.9 15.4 34.8 7 36.9 571.9 11.0 34.7 8 38.28 584.3 28.6 35.3 9 38.95 605.0 28.6 35.1 10 39.27 676.3 17.6 35.6 11 38.3 587.4 17.6 34.9 12 38.84 576.4 22.0 35.4 13 38.14 570.8 17.6 35 14 38.39 586.5 15.4 35.5 15 37.29 544.0 11.0 34.9 16 39.15 611.1 24.2 35 17 38.29 643.3 17.6 35.3 18 38.09 635.6 19.8 34.8 19 37.83 598.9 15.4 35.1 20 39.37 657.0 22.0 35.3 21 37.81 595.2 15.4 35.1 22 37.42 520.0 19.8 35.1 23 38.83 629.6 22.0 35.3 24 38.33 680.0 24.2 34.7 25 40.24 651.2 33.0 35.8 GIVEN:  Determine the regression equation: y^ = -5.7328 + 0.0075 x1 + 0.0509 x2 + 1.0974 x3 FIND:  H0: β1 = β2 = β3 = 0   H1: Not all βi's = zero.          Reject H0 if F >   F = 35.38

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A market researcher is studying on-line subscription services. She is particularly interested in what variables relate to the number of subscriptions for a particular on-line service. She is able to obtain the following sample information on 25 on-line subscription services. The following notation is used:

Sub = Number of subscriptions (in thousands)
Web page hits = Average monthly count (in thousands)
Adv = The advertising budget of the service (in $ hundreds)
Price = Average monthly subscription price ($)

Service Subscriptions Web Page Hits Adv Price
1 37.95 588.9 13.2 35.1
2 37.66 585.3 13.2 34.7
3 37.55 566.3 19.8 34.8
4 38.78 642.9 17.6 35.1
5 37.67 624.2 17.6 34.6
6 38.23 603.9 15.4 34.8
7 36.9 571.9 11.0 34.7
8 38.28 584.3 28.6 35.3
9 38.95 605.0 28.6 35.1
10 39.27 676.3 17.6 35.6
11 38.3 587.4 17.6 34.9
12 38.84 576.4 22.0 35.4
13 38.14 570.8 17.6 35
14 38.39 586.5 15.4 35.5
15 37.29 544.0 11.0 34.9
16 39.15 611.1 24.2 35
17 38.29 643.3 17.6 35.3
18 38.09 635.6 19.8 34.8
19 37.83 598.9 15.4 35.1
20 39.37 657.0 22.0 35.3
21 37.81 595.2 15.4 35.1
22 37.42 520.0 19.8 35.1
23 38.83 629.6 22.0 35.3
24 38.33 680.0 24.2 34.7
25 40.24 651.2 33.0 35.8

GIVEN: 

  1. Determine the regression equation: y^ = -5.7328 + 0.0075 x1 + 0.0509 x2 + 1.0974 x3

FIND: 

H0: β1 = β2 = β3 = 0
 
H
1: Not all βi's = zero.   

 
 
 
Reject H0 if F >  
F = 35.38


 

 

 

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