What is linear regression?
# Linear Regressions
Linear regressions tends to establish a relationship between a dependent variable Y and one or more independent variable X by finding the best fit of the straight line.
The equation for linear model is $Y = mX + c$, where $m$ is the slope and $c$ is the intercept.
In the above diagram, the blue dots we see are the distribution of y with respect to x. There is no straight line that runs through all the data points. So, the objective here is to fit the best fit of a straight line that will try to minimize the error between the expected and actual value.
Read more:
Source: iNeuronai