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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

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