Simple Linear Regression Model (SLRM)

A simple linear regression model (SLRM) is based on a single independent (explanatory) variable and it fits a straight line such that the sum of squared residuals of the regression model (or vertical distances between the fitted line and points of the data set) as small as possible. The simple …

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Interpreting Regression Coefficients in Simple Regression

How are the regression coefficients interpreted in simple regression? The simple regression model is The formula for Regression Coefficients in Simple Regression Models is: $$b = \frac{n\Sigma XY – \Sigma X \Sigma Y}{n \Sigma X^2 – (\Sigma X)^2}$$ $$a = \bar{Y} – b \bar{X}$$ The basic or unstandardized regression coefficient …

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