17) The regression line for the given data is y 4.379x+4.267. Determine the resi

Question

17) The regression line for the given data is y 4.379x+4.267. Determine the residual of a data point 17) for which x 16 and y = 78.8. Rainfall (in inches), x 10.5 8.8 |13.4 | 12.5 18.s| 10.3| 7.0 |15.6| 16.0 Yield (bushels per acre), y 50.5 46.2 58.8 59.0 82.4 49.2 319 76.0 78.8 A) 4.469 B)-333.3322 C) 153.131 D) 74.331 18) 15) The regression equation predicting the average weight of a male aged 18-24 () based on his height (x) is given by y-172.63+ 4.842x. What is the best prediction for the weight of a male aged 18-24 who is 70 inches tall? Round your answer to the nearest pound. A) y B) 70 C) 166 D) 339 19) 19) A regression line for predicting the selling prices of homes in Chicago is y 102x+168, where x is the square footage of the house. A house with 1500 square feet recently sold for $140,000. What is the residual for this observation? A) -13,000 B) 13,000 C) 1316.80 D) -13,168 E) 13,168 20) 20) The relationship between the number of games won by a minor league baseball team and the average attendance at their home games is analyzed. A regression to predict the average attendance from the number of games won has an r2 0.256. Assume that a linear model is won? appropriate. What is the correlation between the average attendance and the number of games A) 0.744 B) 0.07 C) 0.506 D) 0.863 E) 0.256

Explanation / Answer

17. For x = 16,

y = 4.379*16 + 4.267 = 74.331

Hence,

Residual = 78.8 - 74.331 = 4.469

Option A is correct.

18. Option C is correct.

19. Option D is correct.

20. Option C is correct.

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