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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