I need some assistance with these 3 questions

1. Find the equation of the least-squares line (i.e. fill in the numbers for =+y^=a+bx), where y is price and x is mileage.
2. Find & practically interpret the slope (b)
3. Find & interpret the y-intercept (a) if an interpretation is possible. If it's not possible, just report the y-intercept and explain whyit can not be interpreted practically

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