Consider the regression equation $\hat { y } = 18.321 + 3.762 ( t )$ and the data below: $$\begin{array} { | l | l | }
\hline \text { Time Period } ( t ) & \text { Sales } ( \hat { y } ) \
\hline 1 & 22 \
\hline 2 & 27 \
\hline 3 & 23 \
\hline 4 & 31 \
\hline 5 & 45 \
\hline 6 & 47 \
\hline 7 & 45 \
\hline 8 & 42 \
\hline
\end{array}$$
-Compute the forecast errors for period 6 and 7.

Question

Consider the regression equation $\hat { y } = 18.321 + 3.762 ( t )$ and the data below: $$\begin{array} { | l | l | } 
\hline \text { Time Period } ( t ) & \text { Sales } ( \hat { y } ) \
\hline 1 & 22 \
\hline 2 & 27 \
\hline 3 & 23 \
\hline 4 & 31 \
\hline 5 & 45 \
\hline 6 & 47 \
\hline 7 & 45 \
\hline 8 & 42 \
\hline
\end{array}$$
-Compute the forecast errors for period 6 and 7.

Quizplus · Accepted Answer

The Answer of Consider the regression equation $\hat { y } = 18.321 + 3.762 ( t )$ and the data below: $$\begin{array} { | l | l | } 
\hline \text { Time Period } ( t ) & \text { Sales } ( \hat { y } ) \
\hline 1 & 22 \
\hline 2 & 27 \
\hline 3 & 23 \
\hline 4 & 31 \
\hline 5 & 45 \
\hline 6 & 47 \
\hline 7 & 45 \
\hline 8 & 42 \
\hline
\end{array}$$
-Compute the forecast errors for period 6 and 7.

Consider the Regression Equation y^=18.321+3.762(t)\hat { y } = 18.321 + 3.762 ( t )y^​=18.321+3.762(t)

Consider the Regression Equation $\hat { y } = 18.321 + 3.762 ( t )$