Is there any way I can fit two independent variables and one dependent variable in numpy.polyfit()? I have a panda data frame that I loaded from a csv file. I wish to include two columns as independent variables to run multiple linear regression using NumPy. Currently my simple linear regression looks like this: model_combined = np.polyfit(data.Exercise, y, 1) I wish