A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows:

Cars (1000s) Annual Revenue ($ millions) 11.5. 118 10.0. 135 9.0. 100 5.5. 37 3.3. 32

Part of the Excel-generated Simple Linear Regression output is provided below:

ANOVA
	df	SS	MS	F	Significance F
Regression	1	7891.863897	7891.863897	22.91180151	0.017339231
Residual	3	1033.336103	344.4453677
Total	4	8925.2
	Coefficients	Standard Error	t Stat	P-value
Intercept	-19.12490108	23.1658578	-0.825564123	0.469577307
Cars	13.17110701	2.751646621	4.786627363	0.017339231

a. State the value of , the estimated y-intercept of the estimated regression equation, as shown in this printout. Round off your answer to the fourth decimal place. , rounded off as instructed = Blank 1. Fill in the blank, read surrounding text.

b. State the value of , the estimated slope of the estimated regression equation, as shown in this printout. Round off your answer to the fourth decimal place. , rounded off as instructed = Blank 2. Fill in the blank, read surrounding text.