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There are 2 key variables types in SPSS. These are; Numeric variables contain only numbers and so are ideal suited for numeric calculations such as
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On the list of important assumptions in regression Evaluation to acquire valid benefits is independence of errors. Consider to handle multicollinearity in SPSS.
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Logistic Regression: The binomial logistic regression is also known as logistic regression. This can be used to explain the relationship that is amongst a dependent binary variable Using the ordinal, interval, or ration stage impartial variables.
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