Rule of thumb multiple
In terms of very rough rules of thumb within the typical context of Power analysis for multiple regression is made more complicated by the fact.
Rules of thumb for minimum sample size for multiple regression - Cross Validated
statistical rules of thumb guiding the selection of sample sizes large enough for sufficient power to .. m (where m is the number of IVs) for testing the multiple.
10 Jun Numerous rules-of-thumb have been suggested for determining the minimum number of subjects required to conduct multiple regression.
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Description:Assumptions of Multiple Linear Regression Multiple linear regression analysis makes several key assumptions: There must be a linear relationship between the outcome variable and the independent variables. Scatterplots can show whether there is a linear or curvilinear relationship.