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| s = 1.361 R-sq = 91.62% R-sq(adj) = 90.8% Analysis of Variance SOURCE DF SEQ SS C2 1 420.25 C3 1 2.67 a. What is the intercept of the regression? b. What is the estimated regression coefficient of the product’s price? c. What is the estimated regression coefficient of disposable income? d. What is the multiple coefficient of determination? e. What is the standard error of estimate? f. What is the probability that the observed value of the F statistic could arise by chance, given that neither of the in de pen dent variables has any effect on the dependent variable? g. What is the probability, if the true value of the regression coefficient of price is zero, that the t statistic is as large (in absolute terms) as we observe? h. What is the probability, if the true value of the regression coefficient of disposable income is zero, that the t statistic is as large (in absolute terms) as we observe? i. Describe briefly what this regression means. |
