1. An old saying in golf is "you drive for show and you putt for dough." The point is that good putting is more important than long driving for shooting low scores and hence winning money. To explore the relation between winning, putting, and driving distance, data on the top 69 money winners on the PGA tour in 1993 are used. The average number of putts per hole for each player and their average driving distance is used to predict their total winnings using the multiple regression model

where the deviations εi are assumed to be independent and Normally distributed with mean 0 and standard deviation σ. This model was fit to the data using the method of least squares. The following results were obtained from statistical software.

The value of the F statistic for the analysis of variance F test of the hypothesis H0: β1 = β2 = 0 is
A. 14.2.
B. 10.23.
C. 0.431.
2. A forester wishes to predict the volume (in cubic feet) of usable lumber in a certain species of tree from the height (in feet) and diameter (in inches) of the trees. The height and diameter of 31 trees of a certain species were measured, the trees were cut down, and the volume of usable lumber was determined. The multiple linear regression model

Volume = β₀ + β₁(Diameter) + β₂(Height) + β_i

is assumed to hold, where the deviations i are independent and Normally distributed with mean 0 and standard deviation . This model is fit to the data using the method of least squares using statistical software, and the following parameter estimates and their standard errors are obtained.

Based on these results, a 90% confidence interval for the coefficient 1 of diameter is

A. 4.708 ± 0.434.
B. 4.708 ± 0.450.
C. 4.708 ± 0.541.