To find the equation of the line of best fit using the given data, we'll typically use linear regression, which can be done using a spreadsheet calculator. However, based on the data provided:
- Points: (1, 5), (2, 9), (3, 10), (4, 10.5), (5, 11)
Using the linear regression formula, you can calculate the slope (m) and y-intercept (b) to form the equation of the line in the form \( y = mx + b \).
After performing linear regression on this data set, the best-fit line is calculated as:
\[ y \approx 1.35x + 5.05 \]
Thus, rounding to the nearest hundredth, the correct response is:
y = 1.35x + 5.05