APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Interval or ratio dependent variable (DV)
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Interval or ratio independent variables (IVs)
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Dichotomous IVs
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None of the above
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Detailed explanation-1: -Dichotomous Predictor Variables Categorical variables with two levels may be directly entered as predictor or predicted variables in a multiple regression model. Their use in multiple regression is a straightforward extension of their use in simple linear regression.
Detailed explanation-2: -A Multiple linear regression (MLR) is a statistical technique, usually multivariate, which is used in examining the relationship between the explanatory and response variables.
Detailed explanation-3: -Multiple linear regression requires at least two independent variables, which can be nominal, ordinal, or interval/ratio level variables. A rule of thumb for the sample size is that regression analysis requires at least 20 cases per independent variable in the analysis.