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Mississippi State University / SA / SA 151 / Case 3: An Application of Simple Linear R Question I have attached the instructions and data

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Mississippi State University / SA / SA 151 / Case 3: An Application of Simple Linear R Question I have attached the instructions and data for the question. Case 3:.. I have attached the instructions and data for the question. Math Statistics and Probability SA 151 2 Attachments Q View all 1 2 Case 3: An Application of Simple Linear Regression: The Market Model Carefully read Section 4.6 in your text on pages 144 to 146. The data file provided includes real data from the Toronto Stock Exchange (TSX) for nine stocks. Your task is to apply the Market Model for each stock's returns and the TSX Index returns. Do a complete regression analysis for each stock, following the analysis steps provided in the study guide and presented in the course materials. Write a report describing the analyses conducted. Your interpretations of the beta coefficient and coefficient of determination should be discussed in terms of the financial model In your conclusion, provide a summary table of all relevant parameters and discuss which stocks are most and least sensitive to changes in the index. Also explain which stocks' risk could be diversified by creating an appropriate portfolio. You do not need to develop a portfolio Note that the last step "7. If the model fits the data, use the regression equation." is not directly applicable other than your explanations of sensitivity and risk. This step really applies to using the model for prediction. You should use the p-value criterion for any hypothesis tests conducted. Use only summary tables within the text of your report. If any data is within your text, it should be something you are discussing! I do not need to see the raw data anywhere. You can include your Excel output in an Appendix if you like and refer to it there The intent of the case is for each student to work through several complete regression analyses (with help from your team for understanding @). However, when it comes to the final write up, if you organize it by regression steps (including all 9 stocks' graphs together or a table in one place) rather than by stock, you can use one summary paragraph to explain the your analysis for each step. This eliminates a lot of the repetition that results when organizing by individual stock. This is less writing for you and less reading for me @ It makes my grading easier too and anything you can do to make your professor's grading easier is always a good thing@ HAVE FUN! ;-)

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