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Identify the Components of Simple Linear Regression Models and Discuss

Question 22

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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) .  Height  (ft)   Cost ($)  46703430781091100679088805760111200\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}
-Which of the following generates a scatter chart in Excel with the values predicted by the regression model included?


A) Trendline
B) Residual Plots
C) R Square
D) Line Fit Plots

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