Explain in detail the purpose of correlation analysis.
Explain in detail how well a multiple regression equation fits the data.
Explain in detail a qualitative, dummy variable in multiple regression.
Define and describe the components of a time series.
Explain in detail the difference between linear and nonlinear regression.
The purpose of the Assignments is to evaluate what you have learned in the week. You will address questions based on statistical and economical concepts, problems, and key elements in Statistics for Business and Economics using the knowledge gained in the Modules. The assignments, require indepth knowledge through research, hence the need for more references and citations.
You must be able to apply the material learned in the modules and research. The assignment must follow the following guidelines:
You must give quality answers that show mastery of the concepts, problems, and key elements being discussed, using clear logic, and supporting facts. Also, the answers must directly address the questions using provided readings and research.
You must use citations with references to document information obtained from provided sources and research. The statistical and economical concepts, problems, and key elements in Statistics for Business and Economics are found in the sources listed in this syllabus and Course Modules. It is your duty to search for them, read, analyze, evaluate, summarize, paraphrase in your answers, and cite the authors. What it means is that you will have not less than 3 references from the listed sources.
Grammatically correct paper, no typos, and must have obviously been proof read for logic.
Questions must be typed out as headings, with follow up answers in paragraph format, and a summary or conclusion at the end of the paper.
The Assignment must be in APA format and is due no later than the specified time.
