The line of best fit for the given data points is:

$y = 4.4956x + 11.0600$

The slope is $4.4956$ and the y-intercept is $11.0600$, both rounded to four decimal places.

Would you like more details or have any questions?

Here are five related questions you might consider:

1. How would you interpret the y-intercept in this context?
2. What does the slope indicate about the relationship between $x$ and $y$ in this data set?
3. Can you calculate the predicted value of $y$ for $x = 100$ using this line?
4. How would you compute the R-squared value to assess the fit of this line?
5. What impact do outliers have on the line of best fit in linear regression?

Tip: A positive slope in the line of best fit suggests that as $x$ increases, $y$ also increases, indicating a direct relationship between the variables.