Vehicle type/class Year Make Model Price MPG (city) MPG (highway Number of Airbags Convertible 2019...

Vehicle type/class	Year	Make	Model	Price	MPG (city)	MPG (highway	Number of Airbags
Convertible	2019	Porsche	718 Boxtster	53,208	19	22	5
Convertible	2019	Mazda	MX-5 Miata	23,436	24	29	5
Convertible	2020	Audi	S5	55,459	20	26	5
Sedan	2020	Hyundi	Accent	15,015	25	29	6
Sedan	2020	Kia	Rio	15,300	26	30	6
Sedan	2020	Toyota	Yaris	16,100	30	35	6
Truck	2020	Ford	F150	31,591	18	22	10
Truck	2020	Toyota	Tacoma	27,361	16	20	8
Truck	2020	Chevrolet	Colorado	24,852	18	22	8
Truck	2020	Dodge	Ram	35,660	17	21	10

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 Excel and provide the results in your post along with your raw data. Looking at the R² value, explain what this indicates about the strength of the relation. Then write out your Regression Equation, state if your p-value and conclusion.

Expert Solution

Since the Price and Mileage per Gallon must have some relationship. Generally expensive cars give less mileage because they have high power engine, torque and acceleration.

Thus the relationship between them is suspect to be negative.

Mileage is dependent variable and price is independent variable. Because price of car increases as power of engine increases which lowers the mileage per gallons.

Also there is positive relationship between MPG(city) and MPG on Highway.

Regression analysis

Since R2 = 0.2698 which can be interpreted as 26.98%of the variation in the mileage is explained by the price.

For MPG city and MPG highway

The fitted regression model explain 97.54% of the variation in the MPG highway for given MPG city.

I have given my best to solve your problem. Please like the answer if you are satisfied with it. ?

orchestra answered 2 years ago

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