Test Your Knowledge
Question 1 of 4
What is the primary purpose of linear regression in data analysis?
To identify patterns in categorical data
To establish a relationship between variables and make predictions
To cluster similar data points together
To reduce the dimensionality of a dataset
Question 2 of 4
In the linear regression equation Y = bX + a, what does the parameter 'b' represent?
The y-intercept
The dependent variable
The slope of the line
The error term
Question 3 of 4
What is the main difference between simple linear regression and multiple linear regression?
Simple linear regression uses one algorithm while multiple linear regression uses several
Simple linear regression predicts continuous values while multiple linear regression predicts categorical values
Simple linear regression uses one independent variable while multiple linear regression uses two or more
Simple linear regression is more accurate than multiple linear regression
Question 4 of 4
In the context of linear regression, what is the purpose of the cost function?
To determine the type of regression to use
To measure and minimize the difference between predicted and actual values
To select the most important features for the model
To calculate the computational resources needed for training