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What is Simple Linear Regression Explained about?

Linear regression seeks to model the relationship between a predictor and criterion variable through an equation involving an intercept, a slope coefficient, and residuals. The intercept represents the average value of the criterion when the predictor is 0, and the slope coefficient indicates how much the criterion changes on average when the predictor increases by one unit. These can be computed from the data along with the residuals, which express the deviation of observed data points from the regressio

Author

Naresh

Language

EN