Mathematics, 09.04.2021 19:00 jpruitt10

# The following data represent the speed at which a ball was hit (in miles per hour) and the distance it traveled (in feet) for a random sample of home runs in a Major League baseball game in 2018. Complete parts (a) through (f).
Speed (mph) Distance (feet)

103.0 393

105.5 414

101.2 392

103.5 422

101.7 411

103.6 402

105.3 420

107.9 441

103.4 394

103.3 408

105.4 418

101.4 399

n Critical Values for Correlation Coefficient

3 0.997

4 0.950

5 0.878

6 0.811

7 0.754

8 0.707

9 0.666

10 0.632

11 0.602

12 0.576

13 0.553

14 0.532

15 0.514

16 0.497

17 0.482

18 0.468

19 0.456

20 0.444

21 0.433

22 0.423

23 0.413

24 0.404

25 0.396

26 0.388

27 0.381

28 0.374

29 0.367

30 0.361

Find the least-squares regression line treating speed at which the ball was hit as the explanatory variable and distance the ball traveled as the response variable.

Y= X+ ( )

Predict the mean distance of all home runs hit at 105 mph.

The mean distance of all home runs hit at 105 mph is

( ) feet.

Christian Yelich hit a home run 398 feet. The speed at which the ball was hit was 106.2 mph. Did this ball travel farther than you would have predicted? Explain.

The ball farther than the

( ) feet that would have been predicted given the speed with which the ball was hit.

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The following data represent the speed at which a ball was hit (in miles per hour) and the distanc...

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