Question
SUMMARY OUTPUT Regression Statistics Multiple R 0.820245484 R Square 0.672802654 Adjusted R Square 0.615898768 Standard Error 43.07515969 Observations 28 ANOVA df SS MS F Significance
SUMMARY OUTPUT | |||||||||
Regression Statistics | |||||||||
Multiple R | 0.820245484 | ||||||||
R Square | 0.672802654 | ||||||||
Adjusted R Square | 0.615898768 | ||||||||
Standard Error | 43.07515969 | ||||||||
Observations | 28 | ||||||||
ANOVA | |||||||||
| df | SS | MS | F | Significance F | ||||
Regression | 4 | 87752.51099 | 21938.12775 | 11.82349219 | 2.29978E-05 | ||||
Residual | 23 | 42675.7958 | 1855.469383 | ||||||
Total | 27 | 130428.3068 |
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| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 1830.418215 | 109.0069755 | 16.79175307 | 2.10381E-14 | 1604.920105 | 2055.916324 | 1604.920105 | 2055.916324 | |
Month | -0.916874204 | 1.052299833 | -0.871305094 | 0.392591841 | -3.093722262 | 1.259973853 | -3.093722262 | 1.259973853 | |
Price | -32.95223027 | 7.179249496 | -4.589926885 | 0.000129351 | -47.80363938 | -18.10082116 | -47.80363938 | -18.10082116 | |
Advertising | 13.05075514 | 5.353860511 | 2.437634508 | 0.02292722 | 1.975450844 | 24.12605943 | 1.975450844 | 24.12605943 | |
Interest Rate | -14.06377412 | 2.969978992 | -4.735310976 | 9.00409E-05 | -20.20764377 | -7.919904477 | -20.20764377 | -7.919904477 | |
interpret above coefficients and explain the relationship between each of them with the dependent variable "Sales" ?
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