QUESTION IMAGE
Question
use everything you know about the data, r = -0.42, your scatterplot, and the regression equation $hat{y}=-0.41x + 120.9$.
major league baseball team sample
for 2018 regular season
| total errors | wins |
|---|---|
| 76 | 58 |
| 82 | 91 |
| 82 | 90 |
| 88 | 97 |
| 93 | 100 |
| 100 | 73 |
| 120 | 67 |
do you think the prediction you found in the prior questions is good/useful?
why or why not?
no. the prediction using 110 was extrapolation and r is also weak.
no. even though r is strong, using 110 is extrapolation.
yes. it is a good way to estimate the wins of the team by looking at the total
The correlation coefficient $r = - 0.42$, which indicates a weak negative correlation. If a prediction was made using a value (such as 110) outside the range of the data for total errors in the sample, it is extrapolation. Extrapolation is risky and with a weak correlation, the prediction is not reliable.
Snap & solve any problem in the app
Get step-by-step solutions on Sovi AI
Photo-based solutions with guided steps
Explore more problems and detailed explanations
No. The prediction using 110 was extrapolation and r is also weak.