Linear regression is a simple statistics model describes the relationship between a scalar dependent variable and other explanatory variables. If there is only one explanatory variable, it is called simple linear regression, the formula of a simple regression is y = ax + b, also called the line of best fit of dataset x and dataset y.

For Linear Equation: y = ax + b, formula to calculate the a and b is:
   
   
Where:
   x: mean of x
   y: mean of y
   x_i: the ith number of x
   y_i: the ith number of y
   n:total numbers of x or y