The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained: $$\begin{array} { l c l l }
& \text { Variable } & \text { Estimate } & \text { T Prob. } \
\text { Intercept } & 18.100 & 4.45 & .001 \
\text { Time } & 3.2456 & 7.71 & .000
\end{array}$$
-What is the predicted value of y when t = 17?

Question

The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained: $$\begin{array} { l c l l } 
& \text { Variable } & \text { Estimate } & \text { T Prob. } \
\text { Intercept } & 18.100 & 4.45 & .001 \
\text { Time } & 3.2456 & 7.71 & .000
\end{array}$$
-What is the predicted value of y when t = 17?

Quizplus · Accepted Answer

The Answer of The linear regression trend model was applied to a time series of sales data based on the last 16 months of sales.The following partial computer output was obtained: $$\begin{array} { l c l l } 
& \text { Variable } & \text { Estimate } & \text { T Prob. } \
\text { Intercept } & 18.100 & 4.45 & .001 \
\text { Time } & 3.2456 & 7.71 & .000
\end{array}$$
-What is the predicted value of y when t = 17?

The Linear Regression Trend Model Was Applied to a Time