Answer to Question #273193 in Programming & Computer Science for Chand Michael

Question

5.1 For this section, you may choose the method of regression or classification, that is, choose a technique such as the binary, multinomial, or ordinal logistic regression modelling techniques, linear discriminant analysis (LDA), KNN, decision trees or random forest, clustering techniques (hierarchical or k-means).

5.2 Explain the research question(s) that you trying to investigate and state why the technique you have chosen is appropriate for your investigation. You can state your hypotheses at this stage.

5.3 Explain which variables you are using to conduct the analysis and what sort of answers you expect or pre-empt to find.

5.4 Discuss how you treat any irregularities, influential observations, missing values and outliers in the variables that you are using for your analysis. Show these in your codes and explain things in detail.

5.5 Discuss if you manipulated the variables by recoding, creating dummy variables, and transforming certain variables that you use for your analysis.

Answer 1

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