In the game of baseball, the objective of the offense is to score runs. There are several secondary ways to measure the efficiency of offenses in baseball. Batting average (BA) measures what percentage of the time batters reach base via a hit, slugging average (SLG) measures the ability of a team to hit for power, on-base percentage (OBP) measures a teams ability to reach base via hits and walks, and OPS is on-base percentage plus slugging average. Below is the data for baseballs national league in 2011. Tm R BA OBP SLG OPS ARI 734 0.259 0.328 0.418 0.746 ATL 700 0.247 0.32 0.389 0.709 CHC 613 0.24 0.302 0.378 0.68 CIN 669 0.251 0.315 0.411 0.726 COL 758 0.274 0.33 0.436 0.766 HOU 583 0.236 0.302 0.371 0.673 LAD 637 0.252 0.317 0.374 0.69 MIA 609 0.244 0.308 0.382 0.69 MIL 776 0.259 0.325 0.437 0.762 NYM 650 0.249 0.316 0.386 0.701 PHI 684 0.255 0.317 0.4 0.716 PIT 651 0.243 0.304 0.395 0.699 SDP 651 0.247 0.319 0.38 0.699 SFG 718 0.269 0.327 0.397 0.724 STL 765 0.271 0.338 0.421 0.759 WSN 731 0.261 0.322 0.428 0.75 he regression line relating runs scored and batting average is given by R= ? *BA + ? The correlation coefficient between R and BA is ? Predict the number of runs scored by a team whose BA was .255. Round your answer to the closest whole number. Predict the number of runs scored by a team whose BA was .000. Round your answer to the closest whole number. Obviously the answer above makes no sense, and this is (in part) because no team in our data had a BA anywhere near .000. This is a textbook illustration of what term from the course?
In the game of baseball, the objective of the offense is to score runs. There are several secondary ways to measure the efficiency of offenses in baseball. Batting average (BA) measures what percentage of the time batters reach base via a hit, slugging average (SLG) measures the ability of a team to hit for power, on-base percentage (OBP) measures a teams ability to reach base via hits and walks, and OPS is on-base percentage plus slugging average. Below is the data for baseballs national league in 2011.
| Tm | R | BA | OBP | SLG | OPS |
| ARI | 734 | 0.259 | 0.328 | 0.418 | 0.746 |
| ATL | 700 | 0.247 | 0.32 | 0.389 | 0.709 |
| CHC | 613 | 0.24 | 0.302 | 0.378 | 0.68 |
| CIN | 669 | 0.251 | 0.315 | 0.411 | 0.726 |
| COL | 758 | 0.274 | 0.33 | 0.436 | 0.766 |
| HOU | 583 | 0.236 | 0.302 | 0.371 | 0.673 |
| LAD | 637 | 0.252 | 0.317 | 0.374 | 0.69 |
| MIA | 609 | 0.244 | 0.308 | 0.382 | 0.69 |
| MIL | 776 | 0.259 | 0.325 | 0.437 | 0.762 |
| NYM | 650 | 0.249 | 0.316 | 0.386 | 0.701 |
| PHI | 684 | 0.255 | 0.317 | 0.4 | 0.716 |
| PIT | 651 | 0.243 | 0.304 | 0.395 | 0.699 |
| SDP | 651 | 0.247 | 0.319 | 0.38 | 0.699 |
| SFG | 718 | 0.269 | 0.327 | 0.397 | 0.724 |
| STL | 765 | 0.271 | 0.338 | 0.421 | 0.759 |
| WSN | 731 | 0.261 | 0.322 | 0.428 | 0.75 |
he regression line relating runs scored and batting average is given by
R= ? *BA + ?
The
Predict the number of runs scored by a team whose BA was .255. Round your answer to the closest whole number.
Predict the number of runs scored by a team whose BA was .000. Round your answer to the closest whole number.
Obviously the answer above makes no sense, and this is (in part) because no team in our data had a BA anywhere near .000. This is a textbook illustration of what term from the course?
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What is the answer for the last question regarding the term to describe the data value that doesn't make sense?
"Obviously the answer above makes no sense, and this is (in part) because no team in our data had a BA anywhere near .000. This is a textbook illustration of what term from the course? "
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