For games in baseballs National League during nine decades, Table 4.6 shows the percentage of times that
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a. Treating the number of games as the same in each decade, the ML fit of the linear probability model is ÏÌ = 0.7578 0.0694x, where x = decade (x = 1,2,.. . .9). Interpret 0.7578 and 0.0694.
b. Substituting x = 10, 11, 12, predict the percentages of complete games for the next three decades. Are these predictions plausible? Why?
c. The ML fit with logistic regression is ÏÌ = exp(l.148 0.315x)/[1+ exp(l.148 0.315x)]. Obtain ÏÌi for x = 10, 11, 12. Are these more plausible?
Table 4.6:
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