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Consider the following data set that contains information about a sample of ten 2014 Toyota Rav4 offered for sale. Vehicle Condition Color Mileage (x1000miles) 1 excellent black excellent Price (x$1000) 30 29 28 4 27 5 26 6 25 7 24 8 23 9 21 10 green 67 20 The scatter plot that summarizes the data with regard to mileage as the input variable and price as the output variable is provided below. 2 3 poor average poor average good excellent excellent good white black black silver red black blue blue 13 17 34 37 44 51 52 64 65

Consider the following data set that contains information about a sample of ten 2014 Toyota Rav4 offered for sale. Vehicle Condition Color Mileage (x1000miles) 1 excellent black excellent Price (x$1000) 30 29 28 4 27 5 26 6 25 7 24 8 23 9 21 10 green 67 20 The scatter plot that summarizes the data with regard to mileage as the input variable and price as the output variable is provided below. 2 3 poor average poor average good excellent excellent good white black black silver red black blue blue 13 17 34 37 44 51 52 64 65

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider the following data set that contains information about a sample of ten 2014 Toyota Rav4 offered for sale. Vehicle Condition Color Mileage (x1000miles) Price (x$1000) 1 excellent black 13 30 2 excellent white 17 29 3 black 34 28 4 black 37 27 5 silver 44 26 6 red 51 25 7 black 52 24 8 blue 64 23 9 blue 65 21 10 green 67 20 The scatter plot that summarizes the data with regard to mileage as the input variable and price as the output variable is provided below. poor average poor average good excellent excellent good a. Is there an association between the two variables? If yes, is it positive or negative? There appears to be Select an answer between the two variables. ii. b = b. Use technology to find the equation of the line of best fit, y = mx + b, and the coefficient of determination and interpret the slope, the vertical intercept, and the coefficient of determination. (Round the answers to 3 decimal places.) i. m = Select an answer is the Select an answer Select an answer is the Select an answer iii.r c. Use the line of best fit to: hence there is a Select an answer linear relation. i. estimate the price of a car with 26500 miles. Answer: ; ii. estimate the mileage of a car whose price is 25500 dollars. Answer: dollars (Round the answer to the nearest unit.) miles (Round the answer to the nearest unit.)
Transcribed Image Text:Consider the following data set that contains information about a sample of ten 2014 Toyota Rav4 offered for sale. Vehicle Condition Color Mileage (x1000miles) Price (x$1000) 1 excellent black 13 30 2 excellent white 17 29 3 black 34 28 4 black 37 27 5 silver 44 26 6 red 51 25 7 black 52 24 8 blue 64 23 9 blue 65 21 10 green 67 20 The scatter plot that summarizes the data with regard to mileage as the input variable and price as the output variable is provided below. poor average poor average good excellent excellent good a. Is there an association between the two variables? If yes, is it positive or negative? There appears to be Select an answer between the two variables. ii. b = b. Use technology to find the equation of the line of best fit, y = mx + b, and the coefficient of determination and interpret the slope, the vertical intercept, and the coefficient of determination. (Round the answers to 3 decimal places.) i. m = Select an answer is the Select an answer Select an answer is the Select an answer iii.r c. Use the line of best fit to: hence there is a Select an answer linear relation. i. estimate the price of a car with 26500 miles. Answer: ; ii. estimate the mileage of a car whose price is 25500 dollars. Answer: dollars (Round the answer to the nearest unit.) miles (Round the answer to the nearest unit.)
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