MSDS 6371 HW 5 1W. Plot the raw data and also plot the data after a lag transform. Do the data after a log transform satisfy the assumptions better? The data is in exD535.csv Please include a complete analysis on the log transformed data. 1. State the Problem 2. Address the assumptions. (Comment on each assumption. Use the visual test as the Brown- Forstythe test will be overpowered due to the large sample size. This simply means that it is able to detect very small effect sizes {differences in standard deviations] which may not be big enough to practically affect the test.) Comment on your thoughts of the assumptions, but in the end, assume there is not enough visual evidence to suggest the standard deviations of the log transformed data are different. 3. Conduct the Test. [An example is in the UNIT 5 PowerPoint.) 4. Write a conclusion. [An example is in the UNET 5 PowerPoint.) 5. State the Scope. {Can we generalize to the entire population or just the sample that was taken?) Looking to the future! This is not an additional problem. Just FYl: The next step will be to look at these pairwise if we reject the Ho to discover WHlCH pairs have evidence of different means. ADDITIONAL THINGS TO INCLUDE a. Please also identify R2 b. Also specify the mean square error and how many degrees of freedom were used to estimate it