 , 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.   ### Another question on Mathematics Mathematics, 21.06.2019 16:40
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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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