11.32 A chemist is interested in determining the weight loss y of a particular compound as a function of the amount of time the compound is exposed to the air. The data in the following table give the...


11.32 A chemist is interested in determining the weight loss y of a particular compound as a<br>function of the amount of time the compound is exposed to the air. The data in the following table<br>give the weight losses associated with n - 12 settings of the independent variable, exposure time.<br>Weight Loss and Exposure Time Data<br>Weight Loss,y<br>(in pounds)<br>4.3<br>5.5<br>6.8<br>8.0<br>4.0<br>5.2<br>Exposure Time<br>(in hours)<br>4<br>Weight Loss,y<br>(in pounds)<br>Exposure Time<br>(in hours)<br>6.6<br>7.5<br>2.0<br>4.0<br>5.7<br>6.5<br>4<br>4<br>7<br>a. Determine the least-squares prediction equation for the model<br>b. Test H0: β1S 0; give the p-value for Ha-A > 0, and draw conclusions<br>

Extracted text: 11.32 A chemist is interested in determining the weight loss y of a particular compound as a function of the amount of time the compound is exposed to the air. The data in the following table give the weight losses associated with n - 12 settings of the independent variable, exposure time. Weight Loss and Exposure Time Data Weight Loss,y (in pounds) 4.3 5.5 6.8 8.0 4.0 5.2 Exposure Time (in hours) 4 Weight Loss,y (in pounds) Exposure Time (in hours) 6.6 7.5 2.0 4.0 5.7 6.5 4 4 7 a. Determine the least-squares prediction equation for the model b. Test H0: β1S 0; give the p-value for Ha-A > 0, and draw conclusions

Jun 01, 2022
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