Answer:
The residual for 5 is -1.6
Step-by-step explanation: Hope this helps. Name me brainliest please.
A residual value is the difference between the observed y-value and the predicted y-value( from the regression equation ) .
Here, the given regression equation of the line,
y = 5.2 x - 0.4
Thus, for x = 5, the predicted value of y = 5.2 × 5 - 0.4 = 26.0 - 0.4 = 25.6,
Now, by the given table,
For x = 5, the observed value of y = 24,
Hence, the residual for 5 = Observed value of y for 5 - Predicted value of y for 5
= 24 - 25.6 = - 1.6
⇒ First option is correct.
