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?

1. Write the subsequent demand equation, with Qd as the
1. Write the subsequent demand equation, with Qd as the

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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