$16\mathrm{.}23$ LAB: Making predictions using SLR models

The internetusage.csv dataset contains different statistics for all $50$ states in the United States. Among those statistics are percentage of internet users in the state and percentage of individuals with bachelor's degrees.

Write a program that creates a model that uses the percentage of individuals with bachelor's degrees as input and returns the percentage of internet users in a state as output.

For example, if the input is:

$10$

the output should be:

$061\mathrm{.}865155$

dtype: float$64$

It wants to fit the model using the sms$.$ols function and the internet dataframe and then use the model.predict function to find the predicted value for internet$\_$usage and the bach$\_$percent value for the predictor