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Researchers are interested in examining whether female weights (lbs) can be predicted by their cholesterol levels (mg). They gathered data from the U.S. Department of

Researchers are interested in examining whether female weights (lbs) can be predicted by their cholesterol levels (mg). They gathered data from the U.S. Department of Health and Human Services, National Center for Health Statistics, Third National Health and Nutrition Examination Survey and generated the following results using SAS software; however, they do not know how to interpret any of the output. Confident of your statistical abilities, they have come to you with their output and a list of questions. It is now your job to help them interpret their output. Do not let them down!

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Analysis of Variance Sum of Mean Source DF Squares Square F Value PC. > F Model A 13439 13439 12.23 0. 0012 Error 38 41759 C Corrected Total 39 B Root MSE 33. 15001 R-Square 0. 2435 Dependent Mean 146.22000 Adi R-Sa 0. 2236 Coeff Var 22. 67132 Parameter Estimates Parameter Standard Variable Label DF Estimate Error t Value Pr. > Itl 95% Confidence Limits Intercept Intercept 1 122.17772 8. 64514 14.13 <.0001 chol d>

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