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linear regression
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linear regression

statistics
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Written by
Ken Stewart
Ken Stewart is a former educator with an honours degree in chemistry, physics, and mathematics. 
Ken Stewart
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Andrews University - Linear Regression (Dec. 06, 2024)
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linear regression, in statistics, a process for determining a line that best represents the general trend of a data set. The simplest form of linear regression involves two variables: y being the dependent variable and x being the independent variable. The equation developed is of the form y = mx + b, where m is the slope of the regression line (or the regression coefficient), and b is where the line intersects the y-axis. The equation for the regression line can be found using the least squares method, where m = (n(Σxy) − ΣxΣy)/(nΣx2 − (Σx)2) and b = ...(100 of 528 words)

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