A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace). Part of the regression output is provided below, based on a sample of 20 homes. Some of the information has been omitted. $$\begin{array} { l r r r }
\hline \text { Variable } & \text { Coefficients } & \text { Standard Error } & t \text {-Stat } \
\hline \text { Intercept } & 128.93746 & 2.6205302 & 49.203 \
\text { Size } & & 1.2072436 & 11.439 \
\text { FP } & 6.47601954 & 1.9803612 & 3.27 \
\hline
\end{array}$$ The estimated coefficient for Size is approximately:
A)9.5.
B)13.8.
C)122.5.
D)1442.6.

Question

A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace). Part of the regression output is provided below, based on a sample of 20 homes. Some of the information has been omitted. $$\begin{array} { l r r r } 
\hline \text { Variable } & \text { Coefficients } & \text { Standard Error } & t \text {-Stat } \
\hline \text { Intercept } & 128.93746 & 2.6205302 & 49.203 \
\text { Size } & & 1.2072436 & 11.439 \
\text { FP } & 6.47601954 & 1.9803612 & 3.27 \
\hline
\end{array}$$ The estimated coefficient for Size is approximately:
A)9.5.
B)13.8.
C)122.5.
D)1442.6.

Quizplus · Accepted Answer

The Answer of A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace). Part of the regression output is provided below, based on a sample of 20 homes. Some of the information has been omitted. $$\begin{array} { l r r r } 
\hline \text { Variable } & \text { Coefficients } & \text { Standard Error } & t \text {-Stat } \
\hline \text { Intercept } & 128.93746 & 2.6205302 & 49.203 \
\text { Size } & & 1.2072436 & 11.439 \
\text { FP } & 6.47601954 & 1.9803612 & 3.27 \
\hline
\end{array}$$ The estimated coefficient for Size is approximately:
A)9.5.
B)13.8.
C)122.5.
D)1442.6.

A Realtor Is Trying to Predict the Selling Price of Houses