Best-fit Line
In data science, a best-fit line is a straight line that is the best approximation of the given set of data points. It is also known as a regression line. The line is determined by minimizing the sum of the squares of the vertical deviations from each data point to the line. The best-fit line is commonly used in linear regression analysis to model the relationship between two variables. It is used to predict the value of the dependent variable based on the value of the independent variable. The slope of the best-fit line represents the rate of change of the dependent variable with respect to the independent variable. The intercept of the best-fit line represents the value of the dependent variable when the independent variable is zero.
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