Answer:
9.31
Step-by-step explanation:
Given the following :
- - - - - - - - - - df - - - - - SS - - - MS - - - F - - - signiF
Regression - 1 - 13555.42 - 13555.41 - 156.38 - 0
Residual - - 8.00 - 693.48 - - 86.68
Total - - - - 9.00 - 14248.90
What is the value of the standard error of estimate?
The standard error estimate :
Mean square error or Residual (MSE)
Standard Error (SE): √MSE
MSE = 86.68
Standard Error = √86.68
Standard error = 9.3102094
= 9.31
