![]() "the line where the sum of squares of the differences to all data points has the smallest possible value" The best fit line can be defined mathematically as: This is known as the method of least squares.Īll linear regressions take the equation y = mx + b It can be shown mathematically that the best line is one that minimises the total of the squared deviations. You can analyze how a single dependent variable is affected by the values of one or more independent variables. Regression attempts to show the relationship between two variables by providing a mean line which best indicates the trend of the co-ordinates. ![]() The Regression analysis tool performs linear regression analysis by using the "least squares" method to fit a line through a set of observations. ![]()
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January 2023
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