51. What are the different assumptions in linear regression? What happens if they are breached
The following assumptions are made when performing linear regression:The population is represented by the sample data utilized in the modeling.Between the X-axis variable and the mean of the Y variable, there is a linear relationship.For each X value, the residual variance is the same. This is referred to as homoscedasticity.
