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What is the primary purpose of linear regression in real-world applications?
Practice Questions
Q1
What is the primary purpose of linear regression in real-world applications?
To classify data into categories
To predict a continuous outcome based on input features
To cluster similar data points
To reduce the dimensionality of data
Questions & Step-by-Step Solutions
What is the primary purpose of linear regression in real-world applications?
Steps
Concepts
Step 1: Understand that linear regression is a method used in statistics.
Step 2: Know that it helps us find a relationship between variables.
Step 3: Identify that one variable is the outcome we want to predict (called the dependent variable).
Step 4: Recognize that the other variables are the inputs we use to make predictions (called independent variables).
Step 5: Realize that linear regression creates a straight line (or equation) that best fits the data points.
Step 6: Use this line to make predictions about the outcome based on new input values.
No concepts available.
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