Exercise

# Displaying the linear regression results

Now, you will display your linear regression results on the scatter plot, the code for which is already pre-written for you from your previous exercise. To do this, take the first 100 bootstrap samples (stored in `bs_slope_reps_1975`

, `bs_intercept_reps_1975`

, `bs_slope_reps_2012`

, and `bs_intercept_reps_2012`

) and plot the lines with `alpha=0.2`

and `linewidth=0.5`

keyword arguments to `plt.plot()`

.

Instructions

**100 XP**

- Generate the \(x\)-values for the bootstrap lines using
`np.array()`

. They should consist of 10 mm and 17 mm. - Write a
`for`

loop to plot 100 of the bootstrap lines for the 1975 and 2012 data sets. The lines for the 1975 data set should be`'blue'`

and those for the 2012 data set should be`'red'`

. - Hit 'Submit Answer' to view the plot!