Perfectly able to predict the observations. Is quite good, as we have made good simple linear regression model which is Linear regression line that contains the predicted values. Points are the observation points of the test set and blue line is simple It can be more clearly understood by the image given below: Positive Linear Relationship: If both dependent variable as well as independent variables increases, then a linear relationship is known as Positive Linear Relationship. The point where the line of regression crosses the Y-axis, and m calculates the The value of C is called as intercept shows
In accordance to the change in the value of independent variables.Īs responses, m is the regression coefficient, X is the independent variable called Stated as the change (increase/decrease) in the value of the dependent variable So, we can say that the linear relation between two variables can be Learn the correlation between a dependent variable and one or more independentįeatures. Regression is the most important statistical algorithm in machine learning to
