Referring to 7.17 does the fitted model indicate that there is a serious multico

Question

Referring to 7.17 does the fitted model indicate that there is a serious multicollinearity problem?
A. Yes, there is a serious multicollinearity problem since VIF values are greater than 1.
B. I'm feeling lucky
C. Yes, there is a serious multicollinearity problem since ANOVA F test is statistically significant at the 5% level.
D. No, it appears that there is not a serious multicollinearity problem since VIF values are less than 10. 7.17. A physiologist wanted to investigate the relationship between the physical characteristics of preadolescent boys and their maximal oxygen uptake (measured in milliliters of oxygen per kilogram of body weight) The data shown in the table (p 362) were collected on a random sample of 10 preadolescent boys As a first step in the data analysis, the researcher fit the regression model to the data MAXIMAL OXYGEN UPTAKE AGE x1. years HEIGHT x2, centimeters WEIGHT x3, kilograms CHEST DEPTH x4. centimeters 1.54 1.74 1.32 1.50 1.46 135 1.53 1.71 1.27 1.50 1320 1355 127.7 1311 130.0 127.6 129.9 138.1 126.6 131.8 84 8.7 8.9 9.0 7.7 7.3 9.9 9.3 8.1 29.1 29.7 28.4 28.8 25.9 27.6 290 33.6 27.7 30.8 14 4 14.5 14.0 142 13.6 13.9 14.0 14.6 13.9 14.5

Explanation / Answer

Answer ; C) yes there is a serious multicolinearity problem since ANOVA F test is statistically significant at the 5% level

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