Identify the components of simple linear regression models and discuss their applications Use the data given below to answer the following question(s).
Following is an extract from the database of a construction company. The table shows the height of walls in feet and the cost of raising them. The estimated simple linear regression equation is given as Ŷ = b0 + b1X. (Hint: Use Excel functions). $$\begin{array} { | l | l | }
\hline\begin{array} { l }
\text { Height } \
\text { (ft) }
\end{array} & \text { Cost (\$) } \
\hline 4 & 670 \
\hline 3 & 430 \
\hline 7 & 810 \
\hline 9 & 1100 \
\hline 6 & 790 \
\hline 8 & 880 \
\hline 5 & 760 \
\hline 11 & 1200 \
\hline
\end{array}$$
-What is the value of the coefficient b1?
A) 86.81704
B) 254.8371
C) 0.010697
D) -2.14625

Question

Identify the components of simple linear regression models and discuss their applications Use the data given below to answer the following question(s).
Following is an extract from the database of a construction company. The table shows the height of walls in feet and the cost of raising them. The estimated simple linear regression equation is given as Ŷ = b0 + b1X. (Hint: Use Excel functions). $$\begin{array} { | l | l | } 
\hline\begin{array} { l } 
\text { Height } \
\text { (ft) }
\end{array} & \text { Cost (\$) } \
\hline 4 & 670 \
\hline 3 & 430 \
\hline 7 & 810 \
\hline 9 & 1100 \
\hline 6 & 790 \
\hline 8 & 880 \
\hline 5 & 760 \
\hline 11 & 1200 \
\hline
\end{array}$$
-What is the value of the coefficient b1?
A) 86.81704
B) 254.8371
C) 0.010697
D) -2.14625

Quizplus · Accepted Answer

The coefficient b1 represents the slope of the regression line, which is calculated using the formula for the slope in simple linear regression. Using the given data, the slope b1 is calculated to be approximately 86.81704.

Identify the Components of Simple Linear Regression Models and Discuss