Ordinary least squares regression (OLS) is usually just called “regression” in statistics. This can be a bit hard to visualize but the main point is you are aiming to find the equation that fits the points as closely as possible. It’s called a “least squares” because the best line of fit is one that minimizes the variance (the sum of squares of the errors). The Least Squares Regression Line is the line that makes the vertical distance from the data points to the regression line as small as possible. That line is called a Regression Line and has the equation ŷ= a + b x. If your data shows a linear relationship between the X and Y variables, you will want to find the line that bestįits that relationship. How to find the equation using technology.ġ.How to find a Least Squares Regression Line Equation by Hand.What is a Least Squares Regression Line?.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |