Exercise 1
If a baseball team’s OBP is 0.361 and SLG is 0.409, how many runs do
we expect the team to score? Using the linear regression model
constructed during the lecture (the one that uses OBP and SLG as
independent variables), find the number of runs we expect the team to
score:
Runs Scored = -804.63 + (2737.77 * OBP) + (1584.91 * SLG)
-804.63 + (2737.77 * OBP) + (1584.91 * SLG)
[1] 831.9332
We can expect the team to score 831 runs.
Exercise 2
If a baseball team’s opponents OBP (OOBP) is 0.267 and opponents SLG
(OSLG) is 0.392, how many runs do we expect the team to allow? Using the
linear regression model discussed during the lecture (the one on the
last slide of the previous video), find the number of runs we expect the
team to allow.
Runs Allowed = -837.38 + (2913.6 * OOBP) + (1514.29 * OSLG)
-837.38 + (2913.6 * OOBP) + (1514.29 * OSLG)
[1] 534.1529
We can expect the team to allow 534 runs.
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