UNIT NAME Analytical method in economies and finance. Code MAE256. I have attached rubrics, instruction and data file. Word Limit: 1500 words excluding appendices, figures and tables. This is an INDIVIDUAL Assignment. We strongly discourage plagiarism, as it will be penalized as much as possible. However, it is not collusion if you discuss the questions with other students, but you need to submit your own original work. Note that we may request you come in and explain your assignment in person if we feel your assignment is too similar to another students’ work.

This assignment in total has 30 marks that correspond to 20% of your final grade. Once completed, you will need to submit your ‘Microsoft Word’ document via CloudDeakin. You must submit a single file only that contains a cover page with your name and student ID. If you are submitting your assignment as a PDF document, please ensure that you are also submitting as a Word document to enable word counting. Please ensure the Word document is self-contained (i.e. all your tables and figures should be in the word document). You will not need to submit a hardcopy.

Provides statistical output of descriptive statistics of the three variables, remuneration, rank and studnum. Also, provides excellent explanations of means and measures of dispersion of the variables. Provides the estimation of the sample regression function and writes the estimated model. Provides correct interpretation of the estimates of the regression parameters. Provides the sample regression function or the estimated log-log model. Correctly interprets the estimates of log(rank) and explains whether the sign of the estimated coefficient complies with expectations.

Provides the sample regression function, i.e., the estimated model of remuneration on the two independent variables. Provides excellent interpretation of the goodness of fit of the models and compares with that in the other model as stated in the question. Provides the sample regression function, i.e., the estimated log-log model. Correctly interprets the elasticity of remuneration with respect to studnum and correctly tests the statistical significance of the elasticity at the stated level of significance.

Provides correct and full details of the test of significance of rank on the dependent variable remuneration. Provides the sample regression function, i.e., the estimated model after including the additional independent variables, grademp and gradstudy. Provides full and correct details of the tests of single and joint significance of these two variables at the given levels of significance. Provides correct and full details of the overall test of significance at the specified level of significance. Provides the correctly specified sample regression function, i.e., the estimated model. Provides interpretation of the estimate of the relevant coefficient and details of the test of significance of the relevant variable at the specified level of significance. Provides clearly the inference drawn based on the test result.