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Look back to the raw data you collected in week 1. There are 7 variables listed: Vehicle type/class Year Make Model Price MPG (city) MPG

Look back to the raw data you collected in week 1. There are 7 variables listed:

Vehicle type/class

Year

Make

Model

Price

MPG (city)

MPG (highway)

Choose TWO variables that you feel are correlated and explain why you feel that they are correlated. Do you suspect the relation is positive or negative? Why? Which would be considered the independent variable, which the dependent variable? Why?

Run a regression analysis in Exceland provide the results in your post along with your raw data. Looking at the R2value, explain what this indicates about the strength of the relation. Then write out your Regression Equation, state if your p-value and conclusion.

2022 CHEVY CAMARO 25,000 19 29 275
2022 CHEVY CORVETTE 60,900 16 24 455
2022 DODGE CHALLENGER 30,075 19 30 303
2022 DODGE CHARGER 31,350 19 30 292
2022 KIA STINGER 36,290 22 32 300
2022 AUDI S7 80,000 18 28 444
2022 AUDI S8 117,000 14 23 563
2022 BMW M3 72,000 16 23 473
2022 FORD MUSTANG 27,205 21 29 310
2022 TOYOTA SUPRA 43,290 25 32 255

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