Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R? and adjusted r2. Linear Quadratic Cubic Intercept 31.08 27.46 36.82 -0.11...

Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R? and<br>adjusted r2.<br>Linear<br>Quadratic<br>Cubic<br>Intercept<br>31.08<br>27.46<br>36.82<br>-0.11<br>1.47<br>-5.84<br>x2<br>NA<br>-0.13<br>1.30<br>x3<br>NA<br>NA<br>-0.08<br>R2<br>0.003<br>0.037<br>0.115<br>Adjusted R?<br>-0.023<br>-0.015<br>0.041<br>a. Predict y for x= 3 and 5 with each of the estimated models. (Round intermediate calculations to at least 4 decimal places and final<br>answers to 2 decimal places.)<br>Linear ŷ<br>Quadratic ŷ<br>Cubic ý<br>x = 3<br>x = 5<br>

Extracted text: Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R? and adjusted r2. Linear Quadratic Cubic Intercept 31.08 27.46 36.82 -0.11 1.47 -5.84 x2 NA -0.13 1.30 x3 NA NA -0.08 R2 0.003 0.037 0.115 Adjusted R? -0.023 -0.015 0.041 a. Predict y for x= 3 and 5 with each of the estimated models. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) Linear ŷ Quadratic ŷ Cubic ý x = 3 x = 5

Jun 11, 2022

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Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R? and adjusted r2. Linear Quadratic Cubic Intercept 31.08 27.46 36.82 -0.11...

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