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  1. mathematics
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  3. 85 1,810 90 4,825 79 438 82 775 84 1,21

85 1,810 90 4,825 79 438 82 775 84 1,213 96 8,692 88 2,356 76 266 93 4,930 97 9,138 89 2,714 83 1,082 85 1,290 90 3,970 82 894 91 2,906 90 4,615 84 1,168 79 462 81 1,018 95 5,950 What is multiple R, R square, & Adjusted R square? Do regression model results indicate significance,...

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Statistics

851,810
904,825
79438
82775
841,213
968,692
882,356
76266
934,930
979,138
892,714
831,082
851,290
903,970
82894
912,906
904,615
841,168
79462
811,018
955,950

What is multiple R, R square, & Adjusted R square?

Do regression model results indicate significance, meaning theresults can be accepted? Yes or No.

For every 1 increase in Temperature, how much do salesincrease?

Answer & Explanation Solved by verified expert
3.7 Ratings (475 Votes)

You didn't mention which column represent temperature and which is sales.

I assume first one is temperature and other one is sale.

I used excel for calculation purpose.

output is as follows:

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.922351
R Square 0.850732
Adjusted R Square 0.842876
Standard Error 1041.057
Observations 21
ANOVA
df SS MS F Significance F
Regression 1 1.17E+08 1.17E+08 108.2876 2.7611E-09
Residual 19 20592210 1083801
Total 20 1.38E+08
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -32511.2 3408.723 -9.53766 1.12E-08 -39645.78693 -25376.7 -39645.8 -25376.7
X Variable 1 408.6026 39.26555 10.40613 2.76E-09 326.4188809 490.7864 326.4189 490.7864

Highlighted column gives multiple R, R square, & Adjusted R square.

Since calculated value of f is greater than significant f.

We conclude that regression is significant. that is we can accept the result.

If we increase temperature by 1 sales will increased by 408.606
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