Regression Model: The optimum formula for approximating a regression.Regression: is an assessment of a variable's predicted change in relation to changes in other variables. Residual: the vertical distance between a data point and the regression line.OLS (Ordinary Least Squares Regression): sometimes known as Linear Regression.Mean: an average of a group of numbers nevertheless, in linear regression, Mean is represented by a linear function.Least Squares: a method for calculating the best fit to data by minimizing the sum of the squares of the discrepancies between observed and estimated values.Intercept: It is the point at where the slope intersects the Y-axis, indicated by the letter b in the slope equation y=ax+b. Also referred to as an Input or a predictor
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