Model building: What plot will you generate to motivate thatfollowing model will beappropriate to fit to the dataa) Linear Regressionb) Logistic Regressionc) Time series
Answer
LINEAR REGRESSION:
A data model expressly describes a relationship betweenpredictor and response variables. Linear regression fits aninformation model that’s linear within the model coefficients. Themost common variety of regression could be a least-squares work,which can fit both lines and polynomials, among other linearmodels.
Before you model the affiliation between pairs of quantities, it isa good idea to perform correlation analysis to establish if alinear relationship exists between these quantities. Be aware thatvariables will have nonlinear relationships, which
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