Regression Analysis please make sure to read Chapter 6 of uploaded document and provide comprehensive responses to the following:(a) In the use of a categorical variable with n possible values, explain the following:
1. Why only n 1 binary variables are necessary
2. Why using n variables would be problematic(b) Describe how logistic regression can be used as a classifier.(c) Discuss how the ROC curve can be used to determine an appropriate threshold value for a classifier(d) If the probability of an event occurring is 0.4, then1. What is the odds ratio?
2. What is the log odds ratio?Requirements:
Work must be 3 FULL pages(more than 1500 words), single spaced, 12 font Times New Roman. The cover and reference page must be on separate pages with at least 8 reputable sources.You should have at least one in text citation for every reference and try to use reference other than or in addition to the uploaded textbook. Must contain a properly formatted in-text citation and s
cholarly reference.All the questions which need answers are exercise questions which you can find them at the end of the chapter. You can find them on page 190(last page) and question numbers are 2,4,5 and 6. I will read the textbook and post some useful website links if i come across any. Let me know if you need anything from me. Answer Preview
.A variable is a number, character or quantity which can be counted, measured or also sorted. It is also referred to as data and may include sex, age, business income, and class grades. Variables are normally classified regarding ways which they can be measured, presented or studied. Variable examples include; numerical variables, categorical variables, continuous variables, and discrete variables. A categorical variable is also known as a nominal variable and has two or more values (Chattopadhyay, 2011). Categorical variables are qualitative and are represented by
.APA 1801 words
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