SUMMARY OUTPUT Regression Statistics Multiple R 0.881187818 R 2…

/in /by

Question SUMMARY OUTPUT Regression Statistics Multiple R 0.881187818 R 2… SUMMARY OUTPUT Regression Statistics Multiple R0.881187818R20.776491971Adjusted R20.720614963Standard Error14.76589647Observations16 ANOVA  dfSSMSFSignificance FRegression39089.5989933029.8663313.89644880.00032868Residual122616.380382218.031699  Total1511705.97938     CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Intercept28.84376726174.66525280.165137410.87158511-351.7191409.40661Avg. Price-2.1235012440.340389982-6.23843644.3289E-05-2.8651473-1.3818552Avg. Pricecomp1.0345609270.4665266372.217581690.046640780.018086712.05103515Avg. Income3.0893660530.9988931653.092789260.009313940.912964815.2657673  Question 1 : Use the standard error of the regression to estimate the seat demand range with a 95% confidence interval. Question 2: Estimate and interpret the own price, cross price and income elasticities of demand. Business Economics Macroeconomics ECON W3213.002 Share QuestionEmailCopy link Comments (0)