29. The driving school took measurements of the students 'braking distance in slippery weather. From the data, form a regression line equation with speed as the explanatory variable and braking distance as the explanatory variable. speed (km / h) 52 54 54 46 54 55

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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29. The driving school took measurements of the students 'braking distance in slippery weather. From the
data, form a regression line equation with speed as the explanatory variable and braking distance as the
explanatory variable.
speed (km / h) 52 54 54 71 42 51 51 67 54 70 46 54 63 55
braking distance 69
(m)
75 74 126 48 69 66 115 77125 54 74 101
75
30. What is the model braking distance at a car speed of 90 km / h? And how slow should the car be to
travel with a braking distance of no more than 20 m?
31. Calculate the residual terms for the observations according to the forecast of Problem 29.
32. Form a scattering pattern from the residual terms. Is the model well suited to the material? Are there
any discrepancies in the data?
Transcribed Image Text:29. The driving school took measurements of the students 'braking distance in slippery weather. From the data, form a regression line equation with speed as the explanatory variable and braking distance as the explanatory variable. speed (km / h) 52 54 54 71 42 51 51 67 54 70 46 54 63 55 braking distance 69 (m) 75 74 126 48 69 66 115 77125 54 74 101 75 30. What is the model braking distance at a car speed of 90 km / h? And how slow should the car be to travel with a braking distance of no more than 20 m? 31. Calculate the residual terms for the observations according to the forecast of Problem 29. 32. Form a scattering pattern from the residual terms. Is the model well suited to the material? Are there any discrepancies in the data?
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