Question
In: Math
Write down a brief report of the results from this regression analysis explaining: (1) what is...
Write down a brief report of the results from this regression analysis explaining: (1) what is the impact of each variable over the demand? (2) How strong are the results from this analysis to support a forecast? (3) What are the limitations you foresee by using this analysis to forecast production for the following five years?
| SUMMARY OUTPUT | |||||||||
| Regression Statistics | |||||||||
| Multiple R | 0.72916937 | ||||||||
| R Square | 0.53168797 | ||||||||
| Adjusted R Square | 0.51496254 | ||||||||
| Standard Error | 72.98925047 | ||||||||
| Observations | 30 | ||||||||
| ANOVA | |||||||||
| df | SS | MS | F | Significance F | |||||
| Regression | 1 | 169354.741 | 169354.741 | 31.7891965 | 4.866E-06 | ||||
| Residual | 28 | 149168.059 | 5327.43068 | ||||||
| Total | 29 | 318522.8 | |||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | ||
| Intercept | 1963.58187 | 120.949007 | 16.2347911 | 8.8864E-16 | 1715.82906 | 2211.33468 | 1715.82906 | 2211.33468 | |
| Price per Case, P | -5.336865119 | 0.9465563 | -5.6381909 | 4.866E-06 | -7.2757978 | -3.3979324 | -7.2757978 | -3.3979324 | |
| Q=1963.58-5.34*P | |||||||||
| ep = | -0.527356143 | ||||||||
Solutions
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