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.
accounting
Description
ACCT 3051 Final Exam Project:
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.
