Similarly to unpaired t-tests and Mann-Whitney tests (Chap. 4), linear regression can be used to test whether there is a significant difference between two treatment modalities. To see how it works, picture the above linear regression of cholesterol levels and diameters of coronary arteries. It shows that the higher the cholesterol, the narrower the coronary arteries. Cholesterol levels are drawn on the x-axis, coronary diameters on the y-axis, and the best fit regression line about the data can be calculated. If coronary artery diameter coronary artery risk is measured for the y-axis, a positive correlation will be observed (right graph).
CITATION STYLE
Cleophas, T. J., & Zwinderman, A. H. (2016). Linear Regression (20 Patients). In SPSS for Starters and 2nd Levelers (pp. 23–28). Springer International Publishing. https://doi.org/10.1007/978-3-319-20600-4_5
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