Question
help please and thank you!

Price in Dollars Number of Bids $ 108 12 $131 13 $136 16 $142 17 $158 19 TABLE 1
59 4.2 Completion Percentage Interception Percentage 4.9 63 64 T 3.1 - 64 2.4 64 1.8 TABLE 2
Table 1 gives the list price and the number of bids received for five randomly selected items sold through online auctions. U
Table 1 gives the list price and the number of bids received for five randomly selected items sold through online auctions. U
Table 2 gives the completion percentage and interception percentage of quarterbacks in the NFL. Using this data, consider the
Table 2 gives the completion percentage and interception percentage of quarterbacks in the NFL. Using this data, consider the
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Answer #1

we will use excel to find the solutions

For table 1

C. = sr - Microsoft Excel Home Insert Page Layout Formulas Data Review View Acrobat B B connections 21 AR Y Clear Data Analys

The output is

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.9349
R Square 0.8739
Adjusted R Square 0.8319
Standard Error 1.1811
Observations 5.0000
ANOVA
df SS MS F Significance F
Regression 1.0000 29.0151 29.0151 20.7999 0.0198
Residual 3.0000 4.1849 1.3950
Total 4.0000 33.2000
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -4.5849 4.4137 -1.0388 0.3753 -18.6313 9.4615
price in Dollar 0.1480 0.0325 4.5607 0.0198 0.0447 0.2513

Q3

R-square = 0.874

Q

when bid is $155

so we have regression equation

Number of bids = -4.5849+0.1480*Price

Number of bids = -4.5849+0.1480*155\

Number of bids =18.3551

Number of bids =18

For table 2

sr (version 1) (Autosaved] - Microsoft Excel C. - = Home Insert Page Layout Formulas Data Review View 21 AR Properties From F

And the output is

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.8180
R Square 0.6691
Adjusted R Square 0.5588
Standard Error 0.8447
Observations 5.0000
ANOVA
df SS MS F Significance F
Regression 1.0000 4.3277 4.3277 6.0659 0.0906
Residual 3.0000 2.1403 0.7134
Total 4.0000 6.4680
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 33.4106 12.2396 2.7297 0.0720 -5.5411 72.3624 -5.5411 72.3624
Completion Percentage -0.4798 0.1948 -2.4629 0.0906 -1.0997 0.1402 -1.0997 0.1402

Q15

Error sum of square= 2.140

Q 15 95% confidence interval for slope

-1.0997

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