To determine the equation of the line of best fit (linear regression) for the provided data points, we can use the linear regression formula.
The formula for a linear regression line is:
\[ y = mx + b \]
Where:
- \( m \) is the slope of the line,
- \( b \) is the y-intercept.
Using a spreadsheet calculator, we can find the slope \( m \) and the y-intercept \( b \) by inputting the data:
-
For the provided data points:
- (1, 5)
- (2, 9)
- (3, 10)
- (4, 10.5)
- (5, 11)
-
After calculating using the linear regression tools in the spreadsheet, we may find:
- Slope \( m \approx 1.35 \)
- Y-intercept \( b \approx 5.05 \)
Thus, the equation of the line of best fit would be:
\[ y = 1.35x + 5.05 \]
Looking at your response options, the correct one is:
y = 1.35x + 5.05