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The Bigger the Stop Sign, the More Expensive It Is R \mathrm{R}

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The bigger the stop sign, the more expensive it is. Here is a graph of the height of a sign in inches versus its cost in dollars. The bigger the stop sign, the more expensive it is. Here is a graph of the height of a sign in inches versus its cost in dollars.  To achieve linearity, the data was transformed using a square root function of cost. Here are the results and a residual plot.Dependent Variable: sqrt(cost)   \mathrm{R}   (correlation coefficient)   =0.98946627     R-s q=0.97904349   s: 0.2141   \begin{array}{lrr} \text { Parameter } & \text { coeff } & \text { se } \\ \text { Intercept } & 1.1857 & 0.4346 \\ \text { height } & 0.1792 & 0.0151 \end{array}    -Write the transformed regression equation. Make sure to define any variables used in your equation.
To achieve linearity, the data was transformed using a square root function of cost. Here are the results and a residual plot.Dependent Variable: sqrt(cost)
R \mathrm{R} (correlation coefficient) =0.98946627 =0.98946627
Rsq=0.97904349 R-s q=0.97904349
s: 0.2141

 Parameter  coeff  se  Intercept 1.18570.4346 height 0.17920.0151\begin{array}{lrr}\text { Parameter } & \text { coeff } & \text { se } \\\text { Intercept } & 1.1857 & 0.4346 \\\text { height } & 0.1792 & 0.0151\end{array}
 The bigger the stop sign, the more expensive it is. Here is a graph of the height of a sign in inches versus its cost in dollars.  To achieve linearity, the data was transformed using a square root function of cost. Here are the results and a residual plot.Dependent Variable: sqrt(cost)   \mathrm{R}   (correlation coefficient)   =0.98946627     R-s q=0.97904349   s: 0.2141   \begin{array}{lrr} \text { Parameter } & \text { coeff } & \text { se } \\ \text { Intercept } & 1.1857 & 0.4346 \\ \text { height } & 0.1792 & 0.0151 \end{array}    -Write the transformed regression equation. Make sure to define any variables used in your equation.
-Write the transformed regression equation. Make sure to define any variables used in your equation.


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