More Igf13 Now consider the variables ig and weight in the data set Igf13. 1. Fit a
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More Igf13 Now consider the variables igƒ and weight in the data set Igf13.
1. Fit a regression model. If the data violate any assumptions, find a suitable re-expression of igƒ.
2. Add sex to the model in part a as a predictor. Interpret the coefficient of sex.
3. Use the model in part b to predict igƒ for a 100-pound female.
4. Add height to the model in part b. Are all the coefficients statistically significant? What happened? Explain.
5. Based on the model in part d, what model would you consider next?
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1 The association between insulinlike growth factor and weight is linear positive and weak The assoc...View the full answer
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Related Book For 
Stats Data And Models
ISBN: 9780135163825
5th Edition
Authors: Richard D De Veaux, Paul F Velleman, David E Bock
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