Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted r2. Linear Quadratic Cubic Intercept 9.52 9.86 9.91 2.62 2.71...

Consider the following sample regressions for the linear, the quadratic,<br>and the cubic models along with their respective R2 and adjusted r2.<br>Linear<br>Quadratic<br>Cubic<br>Intercept<br>9.52<br>9.86<br>9.91<br>2.62<br>2.71<br>1.80<br>x2<br>NA<br>-0.31<br>-0.33<br>x3<br>NA<br>NA<br>0.26<br>R2<br>0.800<br>0.824<br>0.883<br>Adjusted R2<br>0.797<br>0.821<br>0.882<br>a. Predict y for x = 2 and 5 with each of the estimated models. (Round<br>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 = 2<br>x = 5<br>

Extracted text: Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted r2. Linear Quadratic Cubic Intercept 9.52 9.86 9.91 2.62 2.71 1.80 x2 NA -0.31 -0.33 x3 NA NA 0.26 R2 0.800 0.824 0.883 Adjusted R2 0.797 0.821 0.882 a. Predict y for x = 2 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 = 2 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 R2 and adjusted r2. Linear Quadratic Cubic Intercept 9.52 9.86 9.91 2.62 2.71...

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