Question 4Which one of the below terms use a linear combination of features?1 pointBinomial RegressionLinear RegressionMultiple RegressionPolynomial Regression
Question
Question 4Which one of the below terms use a linear combination of features?1 pointBinomial RegressionLinear RegressionMultiple RegressionPolynomial Regression
Solution
The term that uses a linear combination of features is Multiple Regression.
Here's why:
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Binomial Regression: This is used when the outcome or dependent variable is binary or dichotomous. It doesn't necessarily use a linear combination of features.
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Linear Regression: This is used when there is a single independent variable. It uses a linear approach but doesn't combine multiple features.
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Multiple Regression: This is used when there are two or more independent variables. It uses a linear combination of these features to predict or explain the outcome variable.
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Polynomial Regression: This is used when the power of some independent variable is more than 1. It doesn't use a linear combination of features, but rather a polynomial combination.
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