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  • How to do regression in stata
  • Stata regression interpretation

  • Stata regression interpretation
  • Linear regression stata command
  • Multiple linear regression stata
  • Logistic regression stata
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  • Multiple linear regression stata...


    Multiple linear regression is a method you can use to understand the relationship between several explanatory variables and a response variable.

    This tutorial explains how to perform multiple linear regression in Stata.

    Example: Multiple Linear Regression in Stata

    Suppose we want to know if miles per gallon and weight impact the price of a car.

    To test this, we can perform a multiple linear regression using miles per gallon and weight as the two explanatory variables and price as the response variable.

    Perform the following steps in Stata to conduct a multiple linear regression using the dataset called auto, which contains data on 74 different cars.

    Step 1: Load the data.

    Load the data by typing the following into the Command box:

    use http://www.stata-press.com/data/r13/auto

    Step 2: Get a summary of the data.

    Gain a quick understanding of the data you’re working with by typing the following into the Command box:

    summarize

    We can see that there are 12 different variables in the dataset, but the only ones we care about are mpgweight, and

      how to do multiple regression in stata
      how to do linear regression in stata

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