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1.If you find that r = .646, you know that: Select one: a.The proportion of total variation that can be explained is 64.6% b.The proportion

1.If you find thatr= .646, you know that:

Select one:

a.The proportion of total variation that can be explained is 64.6%

b.The proportion of total variation that can be explained is 41.7%

c.The proportion of total variation that cannot be explained is 41.7%

d.The proportion of total variation that cannot be explained is 64.6%

2.You want to estimate how much customers spend in dollars after visiting your website. You collect data from a simple random sample of 50 customers. Does the regression model using the total number of minutes spent on the website and the total number of pages viewed as predictors for the amount that is spent a good model?

Select one:

a.Yes, becausep< .05

b.No, becausep< .05

c.Yes, becausep> .05

d.No, becausep> .05

3.You want to estimate how much customers spend in dollars after visiting your website. You collect data from a simple random sample of 50 customers to investigate the statistical significance of a regression model using the total number of minutes spent on the website and the total number of pages viewed as predictors for amount spent a good model? Which of the following statements is the most accurate interpretation of the results?

Select one:

a.Overall, the model is useful becausep< .05

b.Overall, the model is useful but amount of time spent is the best predictor

c.

Overall, the model is useful but number of pages viewed is the best predictor

d.Overall, the model is useful becausep> .05

4.You want to estimate how much customers spend in dollars after visiting your website. You collect data from a simple random sample of 50 customers to investigate the statistical significance of a regression model using the total number of minutes spent on the website and the total number of pages viewed as predictors for amount spent a good model? How much of the variation in sales is explained by this model?

Select one:

a.

53.9%

b.The model is not useful

c.55.8%

d.

74.7%

WEBSITE VISITS DATA

Customer Day Browser Time (min) Pages Viewed Amount Spent ($)
1 Mon Internet Explorer 12.0 4 54.52
2 Wed Other 19.5 6 94.90
3 Mon Internet Explorer 8.5 4 26.68
4 Tue Firefox 11.4 2 44.73
5 Wed Internet Explorer 11.3 4 66.27
6 Sat Firefox 10.5 6 67.80
7 Sun Internet Explorer 11.4 2 36.04
8 Fri Firefox 4.3 6 55.96
9 Wed Firefox 12.7 3 70.94
10 Tue Internet Explorer 24.7 7 68.73
11 Sat Other 13.3 6 54.04
12 Sun Firefox 14.3 5 48.05
13 Sun Other 11.7 7 64.16
14 Mon Firefox 24.4 10 158.51
15 Fri Internet Explorer 8.4 3 84.12
16 Thu Internet Explorer 9.6 4 59.20
17 Thu Internet Explorer 23.3 7 91.62
18 Mon Internet Explorer 14.0 7 126.40
19 Fri Other 5.6 4 68.45
20 Wed Internet Explorer 15.1 5 32.69
21 Sat Firefox 16.3 5 78.58
22 Tue Internet Explorer 10.2 6 74.43
23 Sun Internet Explorer 8.0 3 32.73
24 Tue Firefox 8.0 2 48.66
25 Fri Firefox 9.6 3 54.66
26 Wed Internet Explorer 11.0 2 40.54
27 Sat Internet Explorer 16.9 5 34.69
28 Sat Firefox 6.0 4 27.91
29 Fri Firefox 32.9 10 155.30
30 Mon Other 11.8 9 120.25
31 Thu Internet Explorer 7.1 2 41.20
32 Fri Firefox 18.0 8 134.40
33 Sun Internet Explorer 11.8 4 37.17
34 Fri Internet Explorer 9.1 3 52.09
35 Tue Internet Explorer 7.8 5 71.81
36 Mon Firefox 16.5 5 59.99
37 Thu Firefox 6.2 4 84.17
38 Sat Internet Explorer 11.3 4 55.58
39 Tue Internet Explorer 10.6 2 39.06
40 Wed Internet Explorer 5.0 5 36.48
41 Tue Other 15.9 4 67.44
42 Sat Internet Explorer 18.1 7 60.14
43 Fri Firefox 10.8 4 70.38
44 Mon Internet Explorer 13.3 7 110.65
45 Mon Internet Explorer 30.1 6 104.23
46 Fri Firefox 13.7 4 68.17
47 Thu Internet Explorer 8.1 2 17.84
48 Fri Internet Explorer 9.7 5 103.15
49 Mon Other 7.3 6 52.15
50 Fri Internet Explorer 13.4 3 98.75

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