The residual that we have here is - 1.382
How to solve for the residual
Sum of X = 102.5
Sum of Y = 695
Mean X = 10.25
Mean Y = 69.5
Sum of squares (SSX) = 33.625
Sum of products (SP) = 15.75
Regression Equation = ŷ = bX + a
b = SP/SSX = 15.75/33.63 = 0.4684
a = MY - bMX = 69.5 - (0.47*10.25) = 64.69888
ŷ = 0.4684X + 64.69888
Residual = observed - predicted
The observed = 68
The predicted = 0.4684 x 10 + 64.69888
= 4.684 + 64.69888
= 69.382
residual = 68 - 69.382
= -1.38
Read more on random sample here :
https://brainly.com/question/17831271
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