A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting.
$$\begin{array} { | c | c | c | }
\hline \text { Month } & \text { Sales } & \text { Pounds } \
\hline \text { Tanuary } & 45 & 54.3 \
\hline \text { February } & 57 & 63.8 \
\hline \text { March } & 32 & 39.5 \
\hline \text { April } & 44 & 49.8 \
\hline \text { May } & 51 & 52.3 \
\hline \text { Tune } & 34 & 39.9 \
\hline
\end{array}$$
-What is the regression equation resulting from using both the month (where January=1, February=2, etc.) and the level of Sales to forecast Pounds?

Question

A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting.
 $$\begin{array} { | c | c | c | } 
\hline \text { Month } & \text { Sales } & \text { Pounds } \
\hline \text { Tanuary } & 45 & 54.3 \
\hline \text { February } & 57 & 63.8 \
\hline \text { March } & 32 & 39.5 \
\hline \text { April } & 44 & 49.8 \
\hline \text { May } & 51 & 52.3 \
\hline \text { Tune } & 34 & 39.9 \
\hline
\end{array}$$
-What is the regression equation resulting from using both the month (where January=1, February=2, etc.) and the level of Sales to forecast Pounds?

Quizplus · Accepted Answer

The Answer of A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting.
 $$\begin{array} { | c | c | c | } 
\hline \text { Month } & \text { Sales } & \text { Pounds } \
\hline \text { Tanuary } & 45 & 54.3 \
\hline \text { February } & 57 & 63.8 \
\hline \text { March } & 32 & 39.5 \
\hline \text { April } & 44 & 49.8 \
\hline \text { May } & 51 & 52.3 \
\hline \text { Tune } & 34 & 39.9 \
\hline
\end{array}$$
-What is the regression equation resulting from using both the month (where January=1, February=2, etc.) and the level of Sales to forecast Pounds?

A Rendering Plant Wishes to Use the Data (Sales Records