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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

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Solution

The term that uses a linear combination of features is Multiple Regression.

Here's why:

  1. 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.

  2. Linear Regression: This is used when there is a single independent variable. It uses a linear approach but doesn't combine multiple features.

  3. 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.

  4. 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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