DATA analytics Visual Presentation on Firm performance for the Food industry.

accounting

Description

DATA analytics Visual Presentation on Firm performance for the Food industry.

Due is 20 May 21 at 10:00 AM (100 pts)

When you save the document, include your last name in the file name.

This is continuation of your previous the Food industry. You can use your data that are used in your project. Do not worry if you drop all observations that do not have XRD.

 

Here you need your previous regression result of COGS and SALE, a ratio of COGS to SALE, and the trend graph from the project.   When you answer to questions 1-8 and 1-9 clearly note these numbers on your Excel sheet.

 

1.      Make data to a table format and conduct analyses.

 

1-1   Create two graphs. One is the time trend graph for sales and IB (X is year). and the other is a scatter graph of Operating income (IB as Y variable) versus Sale (X Variable) for each firm. You should observe any outliers, and examine if a liner line will fit well or not. 

 

1-2   Conduct a simple regression analysis (use the same DATA used in the proejct) and examine whether the estimated slope coefficient and R square are reasonable given the Scatter graphs.

 

1-3   Using VLOOUP and pick up the value of ROS from the Pivot table and include the value underneath of the estimated coefficient on Sales.

 

1-4   Compare the estimated slope coefficient and the value of ROS. What kind of conclusion can be drawn from this comparison? Comment on.

 

1-5   Create two tables.  One table for COGS and SALE that includes the estimated slope coefficient, P-value, the average ratio of COGS to SALE.   The other Table for IB and SALE that includes the estimated slope coefficient, P-value, the average ROS. Include the number of observations for the COGS and SALE table. For the ratios you use VLOOKUP to pick the value from the pivot table. For P-value you can use VLOOKUP to pick up value from your regression analysis. 

 

1-6   Create one more column in both tables. The title of this column is ESTVC for the COGS and SALE table and ESTVI for the IB and COGS table. Use “if statement” and include the value in the column. The if statement states that if the P-value is smaller than 0.025 then include the value of the regression coefficient otherwise include the value of the ratio. 

 

1-7   Copy the value of ESTVI in the IB and SALE table to the COGS and SALE table.

 

1-8   Create the graph by including both value of ESTVC and ESTVI in one graph, highlight your findings, and make some comments.  Example is presented below.

 

1-9   Include two types of the time trend graphs in a separate sheet as dashboard.  One you created on the project (SALE, COGS and SGA) and the other from this analysis (SALES and IB).

 

1-10          Summarize your finding of firm performance and give clear advice for auditors on how they should allocate their auditing time, where and which firms they should pay attentions to. If you can put all in one excel file, it is better.

 

Example of Table

COGS vs SALE

 

COMN

Slope-c

P-value

COGSSALAVE

# of obs

ESTVC

ARCHER-DANIELS-MIDLAND CO

0.943213

 

0.8974

 

0.9432

CAMPBELL SOUP CO

0.448191

 

0.5951

 

0.4482

GENERAL MILLS INC

0.597225

 

0.5402

 

0.5972

GENESEE CORP -CL B

 

 

 

 

 

KRAFT HEINZ CO

 

 

 

 

 

KELLOGG CO

 

 

 

 

 

QUAKER OATS CO

 

 

 

 

 

PENFORD CORP

 

 

 

 

 

ARMANINO FOODS DISTINCTION

 

 

 

 

 

BIG HEART PET BRANDS

 

 

 

 

 

Instruction Files

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