Which of the following statements a), b) or c) is false?
A) Scikit-learn has separate classes for simple linear regression and multiple linear regression.
B) To find the best fitting regression line for the data in a simple linear regression, a LinearRegression estimator iteratively adjusts the slope and intercept values to minimize the sum of the squares of the data points' distances from the line.
C) Once LinearRegression is finished performing a simple linear regression, you can use the slope and intercept in the y = mx + b calculation to make predictions. The slope is stored in the estimator's coeff_ attribute (m in the equation) and the intercept is stored in the estimator's intercept_ attribute (b in the equation).
D) All of the above are true.

Question

Quizplus · Accepted Answer

Scikit-learn uses the same class, `LinearRegression`, for both simple linear regression (one predictor variable) and multiple linear regression (more than one predictor variable). The distinction between simple and multiple linear regression is not made through separate classes but through the input data shape.

Which of the Following Statements A), B) or C) Is