Question: Section II: The Framework (3%): specify the regression model in terms of independent and dependent variables. Section III: The Data (3%): Describe the source(s) of
Section II: The Framework (3%): specify the regression model in terms of independent and dependent variables.
Section III: The Data (3%): Describe the source(s) of the data you have collected and explained how each variable is measured in a small table.
QM250 Introduction to Statistics Guidelines for the Preparation of Semester Project Paper All students taking QM250 are required to complete and submit a written semester project paper between 3 to 5 pages (1.5 spacing, Times New Roman 12) to be submitted no later than 15 December 2020. The project will count as 20% towards your final grade for the course. Note that: this is a group project; each group could be between five and eight students. You can choose any topic from the list given below. The practical problem and the modeling framework should be carefully articulated; the econometric specification should be justified appropriately; the data set should be sensibly discussed; the estimates should be correctly interpreted. The empirical implications of the results should be carefully discussed. In the following paragraphs, a general guideline on how the written work can be organized is given. However, this is only a broad guideline, and you may wish to follow your format. QM250 Introduction to Statistics Guidelines for the Preparation of Semester Project Paper All students taking QM250 are required to complete and submit a written semester project paper between 3 to 5 pages (1.5 spacing, Times New Roman 12) to be submitted no later than 15 December 2020. The project will count as 20% towards your final grade for the course. Note that: this is a group project; each group could be between five and eight students. You can choose any topic from the list given below. The practical problem and the modeling framework should be carefully articulated; the econometric specification should be justified appropriately; the data set should be sensibly discussed; the estimates should be correctly interpreted. The empirical implications of the results should be carefully discussed. In the following paragraphs, a general guideline on how the written work can be organized is given. However, this is only a broad guideline, and you may wish to follow your format
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