Generally, for linear regression, this option is not selected, so I will leave it unchecked for this example. Doing so would mean there is no Y intercept in the model. The next option called Constant is Zero is used if you want the regression line to start at 0, otherwise known as the origin. If you didn’t have any labels when you selected your data, then you should not tick this option. If you have highlighted the labels of the columns when selecting the data, then tick the Labels options.
The Y variable is the one that you want to predict in the regression model.
See in the following code where R can get to both cases: lm(suva ~ heather, data = as.ame(data))
Observations = 36 ANOVA df SS MS F Significance F I'm performing a simple linear regression. Asking a separate question because whilst this has been answered for polynomial regression the solution doesn't work for me.