X | Y |
9 | -2.8 |
4 | 3.1 |
6 | -4.9 |
2 | 1.2 |
8 | -5.9 |
The sample of five observations for the variables x and y has been collected .
The least squares regression line for this sample is y = 4 − x.
Draw a scatter plot for this dataset and add the regression line. In this diagram, indicate the five residuals of this linear regression . Calculate the predicted value and the residual for the point (6, −.9).
1.
scatter plot :
scatter plot with the regression line :
2.
Residuals :
X | Y | Y(regression) : (y=4-x) | residual = Y - Y(regression) |
9 | -2.8 | -5 | 2.2 |
4 | 3.1 | 0 | 3.1 |
6 | -4.9 | -2 | -2.9 |
2 | 1.2 | 2 | -0.8 |
8 | -5.9 | -4 | -1.9 |
3.
point (6,-4.9)
predicted value = 4-x = 4-6 = -2
predicted value = -2
residual = Y - Y(regression) = -4.9 - (-2) = -2.9
residual = -2.9
P.S. (please upvote if you find the answer satisfactory)
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