How do you interpret a linear regression model?
A linear regression model is very easy to interpret. The linear model form is given below:
The significance of linear models lies in the way that one can without much of a stretch interpret and comprehend the peripheral changes and their results. For instance, if the estimation of x0 increments by 1 unit, keeping different factors steady, the all-out increment in the estimation of y will be βi. Numerically, the catch term (β0) is the reaction when all the indicator terms are set to zero or not considered.