Wikipedia regression line
Linear Regression We have seen equation like below in maths classes. y is the output we want. x is the input variable. c constant and a is the slope of the line. y c axOther regression methods that can be used in place of ordinary least squares include least absolute deviations (minimizing the sum of absolute values of residuals) and the TheilSen estimator (which chooses a line whose slope is the median of the slopes determined by pairs of sample points). wikipedia regression line
Linear regression is a technique used to model the relationships between observed variables. The idea behind simple linear regression is to fit the observations of two variables into a linear relationship between them. Graphically, the task is to draw the line that is bestfitting or closest to the points
Regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning. Regression analysis is also used to understand which among the independent variables are related to the dependent variable, and Correlation and dependence In statistics, dependence or association is any statistical relationship The coefficient of determination generalizes the correlation coefficient for relationships beyond simple linear regression to multiple regression. Sensitivity to the data distributionwikipedia regression line This is a file from the Wikimedia Commons. Information from its description page there is shown below. Commons is a freely licensed media file repository. You can help.