Selling price and amount spent advertising were entered into a multiple regression to Determine what affects flat panel LCD TV sales.The correct null and alternative hypotheses For testing the regression coefficient of Price is A)$H _ { 0 } : \beta _ { \mathrm { P } } \neq 0$ vs. $\mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } = 0$ B) $\mathrm { H } _ { 0 } : \beta _ { \mathrm { P } } \geq 0$ vs. $\mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } 0$ D) $\mathrm { H } _ { 0 } : \beta _ { \mathrm { P } } = 0$ vs. $\mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } \neq 0$ E) $\mathrm { H } _ { 0 } :$ The regression is not significant vs. $\mathrm { H } _ { \mathrm { A } }$ : The regression is significant.

Question

Selling price and amount spent advertising were entered into a multiple regression to Determine what affects flat panel LCD TV sales.The correct null and alternative hypotheses For testing the regression coefficient of Price is 
A)$H _ { 0 } : \beta _ { \mathrm { P } } \neq 0$ vs. $\mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } = 0$
B) $\mathrm { H } _ { 0 } : \beta _ { \mathrm { P } } \geq 0$ vs. $\mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } < 0$
C) $\mathrm { H } _ { 0 } : \beta _ { \mathrm { P } } \leq 0$ vs. $\mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } > 0$
D) $\mathrm { H } _ { 0 } : \beta _ { \mathrm { P } } = 0$ vs. $\mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } \neq 0$
E) $\mathrm { H } _ { 0 } :$ The regression is not significant vs. $\mathrm { H } _ { \mathrm { A } }$ : The regression is significant.

Quizplus · Accepted Answer

The correct null hypothesis ($H_0$) for testing a regression coefficient is that the coefficient is equal to zero ($\beta_P = 0$), indicating no effect. The alternative hypothesis ($H_A$) is that the coefficient is not equal to zero ($\beta_P \neq 0$), indicating an effect.

Selling Price and Amount Spent Advertising Were Entered into a Multiple