Question: We continue the analysis of the data on women from question 5. In addition to AGE, there was also data on a second explanatory variable that might affect WAIST size, namely the woman’s HEIGHT (in inches). The analysts used Minitab to run a multiple regression model relating WAIST size to ACE and HEIGHT:

1. (8 points) We want to evaluate the evidence that WAIST size relates to at least one or some combination of, AGE and HEIGHT using a 10% level of significance.

1. State hypotheses, defining any parameters used.
2. Find and report the appropriate test statistic and P—value from the Minitab printout (don't interpret the P-value).
3. Is you result significant at the 10% level? YES NO Explain your answer:

(b) (2 points) Interpret R-Sq.

(c) (2 points) Interpret the 95% prediction interval, for a 22-year-old woman who is 60 inches tall.

(d) (1 point) Give the P-value used in testing whether the waist size is related to height in this model. Do not state hypotheses, interpret, conclude, or anything else!

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