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What is the least squares regression line?

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Simple explanation of what a least squares regression line is, and how to find it either by hand or using technology. Step-by-step videos, homework help. read more

Of all of the possible lines that could be drawn, the least squares line is closest to the set of data as a whole. This may mean that our line will miss hitting any of the points in our set of data. Features of the Least Squares Line. There are a few features that every least squares line possesses. read more

Least-squares problems fall into two categories: linear or ordinary least squares and nonlinear least squares, depending on whether or not the residuals are linear in all unknowns. The linear least-squares problem occurs in statistical regression analysis; it has a closed-form solution. read more

Least Square Regression Line (LSRL equation) method is the accurate way of finding the 'line of best fit'. Line of best fit is the straight line that is best approximation of the given set of data. It helps in finding the relationship between two variable on a two dimensional plane. read more

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