I have some continuous data on rainfall with unequal intervals (i.e. 0 to 49mm; 50mm to 149mm;150mm to 170mm). Do I need to regularize this independent variable to equal intervals before proceeding with regression? Would the results differ? Tks
Non-continuous interval (discrete), ordinal, and nominal scaled data are regularly used in regression. Treatment of these metrics in independent variables is usually adressed in any introductory text on regression. See, for example, a discussion on “dummy” variables. Use of other scaled variables as dependent variables in regression usually calls for differences in regression methods and can be found in more advanced regression texts. An example would be with a binary dependent variables and the use of logistic regression.
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