To find the equation of the line of best fit for the data given in the table, you can use a spreadsheet to perform a linear regression. After performing this regression, you should obtain an equation of the form \(y = mx + b\), where \(m\) is the slope and \(b\) is the y-intercept.
Let's summarize the data points:
- (1, 5)
- (2, 9)
- (3, 10)
- (4, 10.5)
- (5, 11)
Using a linear regression calculation, you could find that the line of best fit is approximately:
\[ y = 1.35x + 5.05 \]
Therefore, the correct answer is:
y = 1.35x + 5.05.