heteroscedasticity

Hi, 👋 I am learning Multiple Linear Regression.
And currently learning problems in fitting model to data.
And one of the case is, in Linear Model we assume that error term is constant I.e. (variance = sigma square).
I am referring to ISLR book, that says,
The variance of the error terms may increase with the value of response. One can identify non-constant variance in the error terms,or heteroscedasticity, from presence of a funnel shape in the residual plot.

I …

book case data datascience error linear linear model linear regression multiple regression terms value variance