Question: 1. Write the subsequent demand equation, with Qd as the dependent variable; price, advertising, product development, and rel price as the independent variables. 2. How
1. Write the subsequent demand equation, with Qd as the dependent variable; price, advertising, product development, and rel price as the independent variables.
2. How strong is the relationship between quantity demanded and the set of independent variables? List and explain 2 measures of this strength.
3. Which variable is most important in determining quantity demanded? Why?
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Regression Statistics Multiple R R Square Adjusted R 0.655864641 0.430158427 Square 0.104534671 Standard Error 102678.3385 Observations 12 ANOVA df MS Significance F Regression4 55709596185 13927399046 1.321029008 0.349980066 Residual 7379988838610542841198 Total 1.29509E+11 CoefficientsStndard Error t Stat P-value Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% Intercept 1422378.519 1185014.572 1.200304665 0.269060955-1379735.6774224492.715-1379735.677 4224492.715 X Variable1 247037.6649 160481.181 1.539355975 0.167610603-626515.3574 132440.0276-626515.3574 132440.0276 X Variable 2 0.081609431 1.398101115 0.058371623 0.955083996 -3.22437437 3.387593232-3.22437437 3.387593232 XVariable 3 | 1.015253706 | 3.150288749 |-0322273222 | 0756657 161 |-846450288 | 6.433995469 | -8.46450288 | -433995469 X Variable4 177211.9244 145755.2053 1.215818838 0.263460235 167444.3689 521868.2176-167444.3689521868.2176
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In the regression analysis of variables indicating the demand function there exists an intercept term which explains the quantity demanded for a product even if its price becomes zero And there are ot... View full answer
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