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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 theR2value, explain what this indicates about the strength of the relation. Then write out your Regression Equation, state if your p-value and conclusion.

Vehicle Type/Class Year Make Model Price MPG (City) MPG (Highway)
BMW X5 2022 BMW X5 $60,395 21 26
GMC Yukon 2022 GMC Yukon XL $58,595 15 17
Ford SUV 2022 Ford Expedition $58,695 19 24
Volvo 2022 Volvo XC90 $58,895 19 27
Mustang Electric 2022 Ford MACH-E $43,995 TBD TBD
Mazda SUV 2022 Mazda CX-9 $42,885 20 23
Volvo SUV 2022 Volvo XC40 $42,945 22 30
Acura 2022 Acura RDX $42,975 22 28
Tesla 2022 Tesla Model Y $60,190 TBD TBD
Lexus 2022 Lexus RX $58,485 29 28

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