![]() Sample size which is the count of the pairs of variables in the dataset. This linear regression calculator is a comprehensive statistics tool since apart from the slope and the intercept values it returns as well the standard deviation and the correlation coefficient as listed below, while it is based on the following formulas explained here: ![]() If you make a mistake, the calculator might stop working. ![]() To use this linear regression calculator, enter values inside the brackets, separated by commas in the given input boxes. The linear regression is an extremely used concept in statistics and economics in the analysis of the markets, prices, supply and demand, as it helps in a better understanding of a phenomena involving a dependent variable and one or more explanatory ones. The data points and best fit line will show up on the graph. Linear Regression Calculator is an online tool that helps to determine the equation of the best-fitted line for the given data set using the least-squares method. The line of best fit is described by the equation bX + a, where b is the slope of the line and a is the intercept (i.e., the value of Y when X 0). The simple linear regression is the statistics model in which the dependent variable is influenced by a single explanatory variable and its equation also called the line of best fit of dataset(x,y) is written as y = a + bx. In statistics, linear regression is a model which describes the relation between a scalar dependent variable (y) and one or multiple explanatory variables (x). How does this linear regression calculator work? Enter two data sets and this calculator will find the equation of the regression line and correlation coefficient.
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