Discuss the results of the tests and the estimated models. Talkabout how the results answer (or don’t answer) the original research question.

The semester project consists of a short paper demonstrating your mastery of the tools taught in the course. Start by asking a general overall question. For example, “How will inflation affect me?” To answer the overall question, ask more specific questions such as, “How will inflation affect my food costs?”, “How will inflation affect my fuel costs?”, and “How will inflation affect my housing costs?”Project grades will be basedon the following criteria:1. Proper use of the techniques taught in this course: Are the appropriate techniques usedcorrectly?2. Correct grammar and spelling: Does it read smoothly? Is it professional?3. Quality of research objective: Why is it a question worth asking?4. Quality and quantity of the data used: Is your data subject to errors? Are you usingenough data to justify your conclusions?5. Validity of conclusions: Are your conclusions robust? If you use a different technique willyou get a different answer?The semester project is worth 100 points. A rubric describing how the project will be gradedwill be posted on Blackboard. Project due date is Sunday 5/8/2022 by 11;59 p.m.Semester Project FormatYour project should have the following four sections:1. Question – You should state your question as a question. For example, How did thepan-demic affect airline profits?” In this section, you should also discuss why this is aquestion worth asking. What are the possible consequences resulting from how thequestion is answered?2. Data – Describe the data that you will use to answer the question. State where you gotthe data, periodicity (daily, weekly, monthly, quarterly, or annual) of the data, how youhandle outliers and missing values, and summary statistics (mean, median, standarddeviation, number of observations) for each variable. If you scale the data in any way,mention how the data was scaled. Describe how the data was set up in yourspreadsheet or program.3. Analysis – In this section, describe what tests were conducted. State the appropriatehypotheses. State the model to be estimated. Discuss how the model was estimated.4. Results & Conclusions – Discuss the results of the tests and the estimated models. Talkabout how the results answer (or don’t answer) the original research question. Are theresults as expected?Answers to Frequently Asked Questions. Graphs and tables should be located within one page of where they are first mentioned in thetext.. Text should be double spaced.. Font should be 11pt in size.. Outside sources used in writing the paper should be referenced at the end of the paper.. Proper spelling, grammar, and punctuation are required.. Regression results should be summarized in a table.. Hypothesis tests should state the null and alternative hypotheses, show how the teststatistic was computed, state the p-value, the level of significance and conclusion of the testProject grades will be based on the following criteria:1. Proper use of the techniques taught in this course: Are the appropriate techniques used correctly?2. The clarity of your written expression of your research goal and results.3. Quality and quantity of the data used: Is your data subject to errors? Are you using enough data to justify your conclusions?4. Validity of conclusions: Are your conclusions robust? If you use a different technique will you get a different answer?5. Correct grammar and spelling: Does it read smoothly? Is it professional?