We are interested in association between X and Y. As a result, we fit a linear regression model as follows:

Y = b₀ + b₁ X. Here, b₀ is the intercept and b₁ is the slope of the regression line. Consider the data set as follows.

X	Y
1	11
3	14
5	12
7	19
9	17

Find the regression estimates b0 and b1.

	a.	b0= 10.35, b1 = 0.85
	b.	b0 = 9.35, b1 = -0.15
	c.	b0 = 9.35, b1 = -0.45
	d.	b0 = 6.35, b1 = -0.15
	e.	b0 = 9.35, b1 = 0.45