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# Here are some hints for HW #1.Chapter 2:9) For part a), please describe the following: shape, mean, positively/negatively skewed28) In order to see whether the seasonal adjustment makes a difference,

Here are some hints for HW #1.

Chapter 2:

9) For part a), please describe the following: shape, mean, positively/negatively skewed

28) In order to see whether the seasonal adjustment makes a difference, we want to find the average sales of each month (both actual sales and seasonally adjusted sales). Create a variable for Month from 1 to 12 for each row and use pivot tables where the month variable goes into the row section and the average values for adjusted and unadjusted sales need to be shown in a pivot table and visualized using pivot chart. In other words, in this pivot chart, the x-axis is Month (from Jan. to Dec.), and the y-axis is the average sales value. There will be two lines in this chart, one representing the average of total retail sales and the other representing the average of seasonally adjusted sales. Then compare these two lines and answer the question.

37) “Top quartile” means Q3. Before applying any filters, use the Quartile function to find this number. And then apply filters to the two columns Ownership and Monthly Payments to keep only records whose Ownership = 1 and Monthly Payment >= Q3.

Chapter 3:

21) For part a), please label the axis; for pat c), answer the following questions: Is the relationship positive or negative? Do the dots scatter tightly or widely around the line (Is the prediction accurate)?

36) You can either put the three variables (gender, marital status, and annual income) all in the Row field and generate one pivot table or put one each time to generate three pivot tables.