Levels Tought:
University
Teaching Since: | Apr 2017 |
Last Sign in: | 344 Weeks Ago, 6 Days Ago |
Questions Answered: | 9562 |
Tutorials Posted: | 9559 |
bachelor in business administration
Polytechnic State University Sanluis
Jan-2006 - Nov-2010
CPA
Polytechnic State University
Jan-2012 - Nov-2016
Professor
Harvard Square Academy (HS2)
Mar-2012 - Present
For games in baseball"s National League during nine decades, Table 4.6 shows the percentage of times that the starting pitcher pitched a complete game.
TABLE 4.6 Data for Problem 4.2
 |
Percent |
 |
Percent |
 |
Percent |
Decade |
Complete |
Decade |
Complete |
Decade |
Complete |
1900-1909 |
72.7 |
1930-1939 |
44.3 |
1960-1969 |
27.2 |
1910-1919 |
63.4 |
1940-1949 |
41.6 |
1970-1979 |
22.5 |
1920-1929 |
50.0 |
1950-1959 |
32.8 |
1980-1989 |
13.3 |
a. Treating the number of games as the same in each decade, the ML fit of the linear probability model is  = 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  = exp(1.148 — 0.315x)/[1 + exp(1.148 — 0.315x)]. Obtainfor x = 10, 11, 12. Are theseÂ
more plausible?
-----------