Assignment
Length: 1500 words.
The attached data set is an Excel file with three spreadsheets (Sales data.xlsx). The Excel file contains sales, pricing and distribution figures of the different variants of a particular product for a full year.
The spreadsheets each contain different data, as described as below:
o Weekly Sales (Spreadsheet 1). This contains weekly sales figures for 13 different variants of the same product from a particular supermarket chain. There are total 52 weeks of data, that is, one full year of sales. The sales figures are in number of units sold.
o Unit Price (Spreadsheet 2). This contains the average unit price charged per variant per week for all 13 variants. The figures are in average prices in pence. So a 100 implies £1.
o Distribution (Spreadsheet 3). This contains the percentage of stores of the supermarket chain that stored each product variant in its shelves per week. A 100 for a particular variant for a given week meant that this supermarket listed this product on its shelves in all its stores that week.
Question I
o Provide a visual representation of the volume of sales for all variants across all weeks. Also provide the summary statistic of the sales volume of each of the variants. The summary statistics should contain a measures of representative sales and measures of spread.
Hint: Line charts with sales trajectories of all product variants should be presented separately. The summary statistics should provide the mean, median, standard deviation, min and max of the sales values for each of the 13 variants.
o Identify the top 4 selling variants among the 13 in the data. Explain your answer and illustrate your answer using a pie chart.
Question II
o Provide a correlation table indicating overall relationships between the various prices. (10)
o Can you identify those variants, whose prices match each other relatively closely. Explain using the correlation table. Please propose methods for detecting and solving multicollinearity.
o Conduct an exploratory factor analysis of distribution variants and generate an aggregated index. Please present results in tables.
Question III
o Using the multivariate regression methodology, can you identify which prices directly affect the sales of Variant 2?
o Interpret the regression results and discuss the model explanation power.
Format your assignment according to the following formatting requirements:
o The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.
o The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
o Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.
Attachment:- Individual-Report-Data.rar