What is simple linear regression and why?
It is also a linear regression model with one dependant and independent variable which can be used to predict data using linearity.
Simple linear regression is used to generate a linear function like y=mx+c for a dataset considering one data type as x values and another data type as y values.
If you have a linear function, you just need to provide your x values, it will provide y values to you. Similarly, after creating the linear model (simply linear function) you can predict the y values by providing x values as the independent variable.