The equation for the best fit line is y=5.2x+18. it says if the observed value when x=10 was y=62, then which of the following represents the value of the residual for this point. the options are 52, 8,-8,& -10. i need

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.

i think it is 18

step-by-step explanation:

b, i believe, but not sure.