Complete the code cell below to make a graph of the data with error bars, along with the best fit line. The code cell above must first be run and generate correct output before the cell below will work.

$8$matplotlib inline

import numpy as $np$

import matplotlib.pyplot as plt # Import plotting library

# Line defined by the fit that will be plotted with the data

fitx $=np.$ arange $(min(x),$max$(x),0\mathrm{.}01),$ # Make the range of $x$ match the data

fity $=$ m$*$fitX $+c$

# Make a plot of the data with error bars and the linear fit

plt$.$ion$()$

plt$.$ figure $($figsize $=(12,8))$

#$-$Fill in the code to generate a plot of the fit and the data points with

# error bars. Hint, look at Prelab$7$

# Give the plot a title, labels and a legend

# Fill in the code to add these elements

plt$.$show$()$

Add a code cell below to calculate and plot the residuals. Add a Markdown cell below your plot to comment on the results of plotting the residuals. Do they seem to indicate a linear fit is a good choice?