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The Bigger the Stop Sign, the More Expensive It Is sqrt(cost) \operatorname{sqrt}(\cos t)

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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:   \operatorname{sqrt}(\cos t)     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}       -Interpret R-sq in the context of this problem.
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) \operatorname{sqrt}(\cos t)
R 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:   \operatorname{sqrt}(\cos t)     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}       -Interpret R-sq in the context of this problem.

-Interpret R-sq in the context of this problem.


Definitions:

Effect Size

A quantitative measure of the magnitude of a phenomenon or the strength of the relationship between variables in statistics.

0%-100%

A range often used to describe probabilities, percentages, or to measure data on a scale from zero to full value.

Union Membership

Refers to individuals who are part of a labor union, an organization that represents workers' interests in negotiations with employers.

Union Coverage Rates

The percentage of employees who are members of a union or covered by a collective bargaining agreement.

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