The following data represent the speed of a car (in miles per hour) and its breaking distance (in feet) on dry asphalt. 50 60 100.6 124.4 149.4 163.2 80 Speed Breaking Distance 64.9 | 89.3 30 40 70 (a) Draw a scatter plot. 180- 150- 120- 90- 60- 30- 10 10 20 30 40 50 60 70 80 90 Clear All Draw: Dot (b) Find the least squares regresssion line. Round the slope and y-intercept to two decimals. B(x) = (c) Find the linear correlation coefficient. Round your answer to 4 decimals. r =

MATLAB: An Introduction with Applications
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(d) Comment on whether a linear model is a good model. Explain why.
(e) Predict the breaking distance if you were going 65 miles per hour. Use your rounded values from part
(b). Round your final answer to one decimal.
feet
(f) What speed would you be traveling at if you needed 200 feet to break? Use your rounded values from
part (b). Round your final answer to two decimals.
mph
Transcribed Image Text:(d) Comment on whether a linear model is a good model. Explain why. (e) Predict the breaking distance if you were going 65 miles per hour. Use your rounded values from part (b). Round your final answer to one decimal. feet (f) What speed would you be traveling at if you needed 200 feet to break? Use your rounded values from part (b). Round your final answer to two decimals. mph
The following data represent the speed of a car (in miles per hour) and its breaking distance (in feet) on
dry asphalt.
Speed
Breaking Distance
30
40
50
60
70
80
64.9
89.3
100.6
124.4
149.4
163.2
(a) Draw a scatter plot.
180
150-
120-
90-
60-
30-
10
10 20
30 40 50
60 70
80
90
Clear All Draw: Dot
(b) Find the least squares regresssion line. Round the slope and y-intercept to two decimals.
B(x) =
(c) Find the linear correlation coefficient. Round your answer to 4 decimals.
r =
Transcribed Image Text:The following data represent the speed of a car (in miles per hour) and its breaking distance (in feet) on dry asphalt. Speed Breaking Distance 30 40 50 60 70 80 64.9 89.3 100.6 124.4 149.4 163.2 (a) Draw a scatter plot. 180 150- 120- 90- 60- 30- 10 10 20 30 40 50 60 70 80 90 Clear All Draw: Dot (b) Find the least squares regresssion line. Round the slope and y-intercept to two decimals. B(x) = (c) Find the linear correlation coefficient. Round your answer to 4 decimals. r =
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