Answer
$β_0=0.2088$
$β_1=0.05753$
Work Step by Step
In MINITAB, enter the Tar values in C1 and in C2 enter the Nicotine
values.
Select Stats -> Regression -> Regression -> Fit Regression Model
Enter C2 in "Responses" and C1 in "Continuous Predictors"
The least-squares regression line ($ŷ =b_1x+b_0$) will be shown in "Regression Equation", where C2 is ŷ (Nicotine) and C1 is x (Tar)
$ŷ =0.2088+0.05753x$
That is:
$b_0=0.2088$ and $b_1=0.05753$
$b_0$ is the estimate for $β_0$ and $b_1$ is the estimate for $β_1$.
