QUESTION

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Refer to the demand for cell phones regression given in Eq. (3.7.3).
a. Is the estimated intercept coefficient significant at the 5 percent level of significance? What is the null hypothesis you are testing?
b. Is the estimated slope coefficient significant at the 5 percent level? What is the underlying null hypothesis?
c. Establish a 95 percent confidence for the true slope coefficient.
d. What is the mean forecast value of cell phones demanded if the per capita income is   $\$ 9,000$   ? What is the 95 percent confidence interval for the forecast value?>  $\begin{aligned} \hat{Y}_{i} &=14.4773+0.0022 X_{i} \\ \text { se }\left(\hat{\beta}_{1}\right) &=6.1523 ; \quad \text { se }\left(\hat{\beta}_{2}\right)=0.00032 \\ r^{2} &=0.6023 \end{aligned}$  


Refer to the demand for cell phones regression given in Eq. (3.7.3). a. Is the estimated intercept coefficient significant at the 5 percent level of significance? What is the null hypothesis you are testing? b. Is the estimated slope coefficient significant at the 5 percent level? What is the underlying null hypothesis? c. Establish a 95 percent confidence for the true slope coefficient. d. What is the mean forecast value of cell phones demanded if the per capita income is $\$ 9,000$ ? What is the 95 percent confidence interval for the forecast value?
$\begin{aligned} \hat{Y}_{i} & =14.4773+0.0022 X_{i} \\ \text { se }\left(\hat{\beta}_{1}\right) & =6.1523 ; \quad \text { se }\left(\hat{\beta}_{2}\right)=0.00032 \\ r^{2} & =0.6023\end{aligned}$

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