Final answer:
To calculate the residual for the point (4,7) on the regression line y=1.3+0.73x, subtract the predicted y-value (4.22) from the actual y-value (7), resulting in a residual of 2.78.
Step-by-step explanation:
The equation of the least squares regression line for the points on the scatterplot is given by y = 1.3 + 0.73x. To find the residual for a specific point, such as (4,7), you first need to calculate the predicted y-value (ŷ) using the regression equation. For x = 4, the predicted y-value is:
ŷ = 1.3 + (0.73 × 4)
= 1.3 + 2.92
= 4.22
The residual is the actual y-value minus the predicted y-value. So, for the point (4,7), the residual would be:
Residual = y - ŷ = 7 - 4.22
= 2.78
Therefore, the residual for the point (4,7) is 2.78.