gaphPad Prism multiple variables” data can be analyzed using a variety of statistical methods, such as multiple logistic regression and multiple linear regression. By employing these kinds of “multiple variable” analyses, you can investigate the desired outcome without wasting any potentially useful data.
There are times when the number of subjects studied far outweighs the number of variables gathered.It’s possible that there are too many variables for a model to fit the data. However, excluding some variables from the analysis amounts to throwing away information that could be useful!
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