Which graphs are suggested observed before to be model fitting?

The generalized linear model is the subsidiary of the standard linear regression model. GLM is increasingly adaptable regarding residuals and can be utilized where linear regression doesn't appear to be suitable. GLM permits the conveyance of residuals to be other than an ordinary dispersion. It sums up the linear regression by permitting the linear model to connect to the objective variable utilizing the connecting capacity. Model estimation is finished utilizing the technique for greatest probability estimation.

In its modest form, a linear model that specifies the (linear) relationship among a dependent (or response) variable Y, & a set of predictor variables, the X's, so that