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Representing categorical variables as sets of numerical variables. Necessary in many types of analysis for them to process categorical data. A common example is using a categorical predictor in regression/ANOVA via dummy coding, effect coding, Helmert coding, user-defined contrasts, etc.
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Methods or processes for discovering the major reasons for linear regression coefficients?
Other than inspecting data at random, what are some statistical or graphical processes or methods for determining the major reasons for coefficients in linear regressions?
Example
Suppose we have t …