Problem #2. A set of experimental runs was made to determine a way of predicting cooking time y at various values of oven width x, and flue temperature x2. The coded data were recorded as follows: y...

Multiple Linear RegressionProblem #2. A set of experimental runs was made to determine a way of predicting<br>cooking time y at various values of oven width x, and flue temperature x2. The coded<br>data were recorded as follows:<br>y<br>X1<br>x2<br>6.4<br>1.32<br>1.15<br>15.05<br>2.69<br>3.4<br>18.75<br>3.56<br>4.1<br>30.25<br>4.41<br>8.75<br>44.85<br>5.35<br>14.82<br>48.94<br>6.2<br>15.15<br>51.55<br>7.12<br>15.32<br>61.5<br>8.87<br>18.18<br>100.44<br>9.8<br>35.19<br>111.42<br>10.65<br>40.40<br>Estimate the multiple linear regression equation.<br>

Extracted text: Problem #2. A set of experimental runs was made to determine a way of predicting cooking time y at various values of oven width x, and flue temperature x2. The coded data were recorded as follows: y X1 x2 6.4 1.32 1.15 15.05 2.69 3.4 18.75 3.56 4.1 30.25 4.41 8.75 44.85 5.35 14.82 48.94 6.2 15.15 51.55 7.12 15.32 61.5 8.87 18.18 100.44 9.8 35.19 111.42 10.65 40.40 Estimate the multiple linear regression equation.

Jun 11, 2022
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