1. For numeric variable
2. For categorical variable
Linear fitting plot: to roughly show the linear relation between any two numeric variable. Grey area is 95% confidence interval.
3. Change the labels of X and Y axes
Histogram: to roughly show the probability distribution of a variable by depicting the frequencies of observations occurring in certain ranges of values.
Density plot: to show the distribution of a variable
When the number of bins is 0, plot will use the default number of bins
Please edit data in Data tab
ResultsSave into CSV Save LaTex codes
Model selection suggested by AICSave into TXT
1. Q-Q normal plot of residuals
2. Residuals vs Fitting plot
Predicted dependent variable is shown in the 1st column
Prediction vs True Dependent Variable Plot
This plot is shown when new dependent variable is provided in the test data.
This plot shows the relation between predicted dependent variable and new dependent variable, using linear smooth. Grey area is confidence interval.