regression_line.py

#slope -logic
m = lr.coef_[0]
#constant
c = lr.intercept_
#multiply m with all input data to form a regression line- linear equation to observe whether it is the best fit or not.
regression_line = [(m*i)+c for i in x]
#scatter plot whole x and y data.
plt.scatter(x,y,color='blue')
plt.plot(x,regression_line, color='red')
plt.ylabel('Dependent/Output Variable')
plt.xlabel('Independent/Input Variable')
plt.title('Regression Line fit')
plt.show()