Bailey thinks her heartrate will increase as she increases her biking speed. To see if this relationship exists, she records seven different speeds and models it with a scatterplot and regression output.

Regression Statistics
Multiple R	97.50557%
R Square	95.07336%
Adjusted R Square	94.08803%
Standard Error	3.884894879
Observations	7

	df	SS	MS	F
Regression	1	1,456.252245	1,456.252245	96.48906
Residual	5	75.46204112	15.09240822
Total	6	1531.714286

	Coefficients	Standard Error	t Stat	p-Value
Intercept	13.55330396	8.879163768	1.526416712	0.187432
Speed	8.651248164	0.880723811	9.822884377	0.000186

Part A: Write the equation of the regression line using the regression output. (2 points)

Part B: What do the slope and intercept parameters mean using the context of the problem? (4 points)

Part C: Compute the margin of error that Bailey should use if she wants to provide a 96% confidence interval for the slope. Assume that conditions for inference are satisfied. (4 points)