Python for Machine Learning - The Complete Beginners Course - How Does Linear Regression Work?

What is the primary goal of the machine learning model discussed in the video?

• To predict the price of a 330 square feet apartment

• To determine the best location for a new house

• To calculate the average price of houses in the area

• To find the largest house in the dataset

What is used to represent the data points on the scatter plot?

• Yellow stars

• Red dots

• Green triangles

• Blue squares

What do the variables D1 and D2 represent in the context of the video?

• The coordinates of the houses

• The error between the red dots and the line

• The price of the most expensive house

• The area of the largest house

How is the error between the red dots and the line calculated?

• By dividing the errors

• By multiplying the errors

• By subtracting the errors

• By squaring and summing the errors

Which line is chosen as the best fit for the model?

• The line with the maximum error

• The line with the minimum error

• The line with the average error

• The line with no error