In which scenario would linear regression be an appropriate model to use?
Practice Questions
Q1
In which scenario would linear regression be an appropriate model to use?
Predicting customer churn (yes/no)
Estimating house prices based on square footage
Classifying emails as spam or not spam
Segmenting customers into different groups
Questions & Step-by-Step Solutions
In which scenario would linear regression be an appropriate model to use?
Step 1: Identify the type of data you have. Linear regression is used for continuous data, which means the values can take any number within a range (like prices, heights, etc.).
Step 2: Determine if you want to predict a value based on other variables. For example, if you want to predict house prices based on features like size, location, and number of bedrooms, linear regression is appropriate.
Step 3: Check if the relationship between the variables is linear. This means that as one variable increases, the other variable should also increase or decrease in a straight-line manner.
Step 4: Ensure you have enough data points. Linear regression works best with a larger dataset to make accurate predictions.
