![]() ![]() the independence of observations (whether or not there are any distinct patterns). ![]() homoscedasticity (whether or not the residuals are scattered evenly).the linear relationship between the independent and dependent variables (the pattern must be linear, not U- or inverted U-shaped).The goal of a residual plot is to help you understand whether the regression line you’re using is good at explaining the relationship between the variables. In regression analysis, a residual plot is a scatter plot where the independent variable (x) is plotted on the horizontal (x-) axis while the residual is on the vertical (y-) axis. For each data point, there’s one residual. The answer is quite simple: a residual (e) is the difference between the observed value (y) and the predicted value (ŷ).įor example, if your observed value is “ 2” while the predicted value equals “ 1.5,” the residual of this data point is “ 0.5”. What Is a Residual Plot and Why Is It Important? What Is a Residual Plot and Why Is It Important?. ![]()
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