Question

Which of the following Python methods can be used to perform simple linear regression on a data set? Select all that apply.

a) numpy.polyfit
b) scipy.stats.linregress
c) statsmodels.api.OLS
d) matplotlib.pyplot.plot

Answer 1

The Python methods that can be used to perform simple linear regression on a data set are numpy.polyfit, scipy.stats.linregress, and statsmodels.api.OLS.

Step-by-step explanation:

The Python methods that can be used to perform simple linear regression on a data set are:

1. numpy.polyfit - This function fits a polynomial of a specified degree to a given set of data points, which can be used for linear regression.
2. scipy.stats.linregress - This function calculates the least squares regression line for a given set of data points, providing the slope, intercept, correlation coefficient, and p-value.
3. statsmodels.api.OLS - This method uses ordinary least squares to fit a linear regression model to a given set of data points.