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What is Deriving Simple Linear Regression about?

The simple linear regression equation is derived by finding the best-fitting line that relates an independent variable (x) to a dependent variable (y) using the least squares method to minimize the sum of squared residuals. The equation is represented as ŷ = a + bx, where a is the slope and b is the y-intercept. In regression analysis, y refers to the actual observed value of the dependent variable, while ŷ (y-hat) is the predicted value from the model, with the difference between them known as the error

Author

Celine Erica Babasoro DeLeon

Language

EN