Respuesta :
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.
The residual value is -8
What is a residual value?
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 +18
Thus, for x = 10, the predicted value of
y = (5.2 × 10) +18
y = 52 + 18
y = 70
Now, by the given question,
For x = 10, the observed value of y = 62,
Hence, the residual for 10 = Observed value of y for 10 - Predicted value of y for 10
= 62 - 70
= -8
For more information:https://brainly.com/question/12606018
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