I am working on this project, I need some help with only one question. And to give the opinion on how's the project look like?

Question: Briefly describe your sample and your two quantitative variables, including their units of measurement. State that the purpose of your analysis is to use linear regression to price based on mileage.

Sample: Set of 30 2018 Chevrolet Camaros within 200 miles of 33615 ZIP code

Variable 1: The price of the car.

Variable 2: The miles of the car.

These the data I have so far

Simple linear regression results:

Dependent Variable: Price Independent Variable: Mileage Price = 41116.768 - 0.17675013 Mileage Sample size: 30 R (correlation coefficient) = -0.46576164 R-sq = 0.2169339 Estimate of error standard deviation: 9248.6584

Parameter estimates:

Parameter	Estimate	Std. Err.	Alternative	DF	T-Stat	P-value
Intercept	41116.768	2661.5978	? 0	28	15.448152
Slope	-0.17675013	0.06346236	? 0	28	-2.7851175	0.0095

Analysis of variance table for regression model:

Source	DF	SS	MS	F-stat	P-value
Model	1	6.6350549e8	6.6350549e8	7.7568794	0.0095
Error	28	2.3950551e9	85537682
Total	29	3.0585606e9

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