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_________________________________________________________________________________________________________ c. What is the estimated number of new visitors to a club if the size of the ad is 5 column
inches and a $75 discount is offered? 14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31 A
B
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.8465
R Square
0.7165
Adjusted R Square
0.6031
Standard Error
3.3749
Observations
8
ANOVA
df
Regression
Residual
Total Intercept
ColInches
Discount 2
5
7 C D
E
F
Visitors
ColInches Discount
23
4
100
30
7
20
20
3
40
26
6
25
20
2
50
18
5
30
17
4
25
31
8
80
SS
MS
F
Significance F
143.924
71.962
6.318
0.043
56.951
11.390
200.875 Coefficients Standard Error
10.687
3.875
2.157
0.628
0.042
0.044 t Stat
2.758
3.434
0.949 Pvalue
0.040
0.019
0.386 G Lower 95%
Upper 95%
0.726
20.648
0.542
3.771
0.071
0.154 PROBLEM # 12.5 Pat Statsdud, a student ranking near the bottom of the statistics class, decided that a certain amount of studying could actually improve final grades. However, too much studying would not be warranted, since Pat’s ambition was to ultimately graduate with the absolute minimum level of work. Pat was registered in a statistics course, which had only 3 weeks to go before the final exam, and where the final grade was determined in the following way: Total mark= 20% (Assignment) + 30% (Midterm exam) + 50% (Final exam) To determine how much work to do in the remaining 3 weeks, Pat needed to be able to predict the final exam mark on the basis of the assignment mark (worth 20 points) and the midterm mark (worth 30 points). Pat’s marks on these were 12/20 and 14/30, respectively. Accordingly, Pat undertook the following analysis. The final exam mark, assignment mark, and midterm test mark for 30 students who took the statistics course last year were collected. a. Determine the regression equation. b. What is the standard error of estimate? Briefly describe how you interpret this statis...
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 Fall '08
 GHATRI

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