The residual is the discrepancy between the value of the dependent variable as observed and as predicted by the estimated regression equation.
The residual is a numerical indicator that helps you determine how closely your hypothesized model corresponds to actual occurrences. Residuals are easily recognised because they are only the numerical measures of how far a data point is from the anticipated model's ideal location. In mathematics, a residual is the difference between an observed data point and the value that was predicted or estimated to represent the value of the data point.
Remainder, or what the regression line does not describe, should be the mistake.
It displays the variance between the actual value and the value predicted.
Learn more about regression to visit this link
https://brainly.com/question/14313391
#SPJ4
