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In which scenario would you prefer using a linear regression model?
In which scenario would you prefer using a linear regression model?
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Practice Questions
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Q1
In which scenario would you prefer using a linear regression model?
When the outcome variable is categorical
When the relationship between variables is non-linear
When you need to predict a continuous variable based on other continuous variables
When you have a small dataset
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Linear regression is preferred when predicting a continuous outcome variable based on one or more continuous predictor variables.
Questions & Step-by-step Solutions
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Q
Q: In which scenario would you prefer using a linear regression model?
Solution:
Linear regression is preferred when predicting a continuous outcome variable based on one or more continuous predictor variables.
Steps: 4
Show Steps
Step 1: Identify the type of outcome you want to predict. Is it a continuous number, like height, weight, or temperature?
Step 2: Check if you have one or more predictor variables that are also continuous. For example, age, income, or hours studied.
Step 3: If both the outcome and predictor variables are continuous, then a linear regression model is a good choice.
Step 4: Consider if the relationship between the predictor variables and the outcome is linear, meaning it can be represented by a straight line.
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