Transcription of Linear Regression - Columbia University
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Linear Regression - Columbia University
Linear Regression In this tutorial we will explore fitting Linear Regression models using stata . We will also cover ways of re-expressing variables in a data set if the conditions for Linear Regression aren t satisfied. We will be working with the data set discussed in examples on page 210 of the textbook. The data set consists of three variables waist (waist size in inches), weight (weight in pounds) and fat (body fat in %) measured on 20 male subjects. To access the data type: use ~martin/W1111/Data/Body_fat in the command window. To create a scatter plot for the variables fat and waist type: scatter fat waist This gives rise to the following plot: 010203040fat30354045waist Studying the plot, the association between the variables appears to be strong, Linear and positive. As the scatter plot indicates a Linear relationship between the variables we decide to find the least-squares Regression line.
Linear Regression In this tutorial we will explore fitting linear regression models using STATA. We will also cover ways of re-expressing variables in a …
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