we will use excel to find the solutions
For table 1
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
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
help please and thank you! Price in Dollars Number of Bids $ 108 12 $131 13...
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