Title: "The Significance of Data Point Differentiation in Linear Regression"

The Essence of Linear Regression:

Linear regression, a cornerstone in statistical modeling, seeks to establish relationships between independent and dependent variables. Its role extends to predicting outcomes based on input features, making it a fundamental tool in various fields.

The differentiation of data points in simple linear regression is needed, because we have to find out the slope.