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This document provides instructions for completing four Excel exercises: 1) Creating a sales spreadsheet with monthly sales data for different product categories. 2) Creating a payroll spreadsheet with employee names, pay, taxes, and net pay. 3) Creating a budget spreadsheet with income, expenses, and savings data for different categories for three months. 4) Creating an inventory spreadsheet with stock items, units on hand, cost per unit, and total value.
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Ace 427 homework 1 ace427
ACE 427 Homework 1/ACE427
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ACE 427 Homework 1
Spring 2016
Homework 1
The purpose of this homework is to introduce you to one of the most important concepts in
commodity price analysis—the random walk model. To obtain the data for the homework, go to
the farmdoc website and collect the US monthly average price received for hogs from January
1960 – November 2015. A downloadable Excel file with the data can be found at this link:
http://www.farmdoc.illinois.edu/manage/uspricehistory/us_price_history.html. The link for the
price data is at the bottom of the purple area of the tool.
1. Produce a line plot of the entire data series on one page. Do your best to format the chart
in a useful manner.
2. Produce a scatter plot where x is the previous month hog price and y is the current month
hog price. Note you will lose one observation when you construct the series for this plot.
In other words, generate a second price column which is the original data lagged by one
month, e.g. row #1 Feb 60 Jan 60; row #2 Mar 60 Feb 60, and so on. Show the
regression of y on x on the chart along with the equation and R2.
3. Generate the monthly change in hog prices. Simply subtract last month’s price from this
month’s price.
4. Produce a scatter plot where x is the previous change in the monthly hog price and y is
the current change in the monthly hog price. Note you will lose two observations when
you construct the series for this plot. Show the regression of y on x on the chart along
with the equation and R2.
5. Discussion:
a. What does the plot in #2 suggest about the predictability of monthly hog prices?
b. What does the plot in #4 suggest about the predictability of monthly hog prices?
c. How can the two predictability results be reconciled? Do some digging on the
random walk model. One well written paragraph is sufficient.
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This document provides instructions for a final exam in a business information systems course. It includes multiple sections assessing skills in Excel formatting, charts, formulas, functions, pivot tables, conditional formatting, data analysis, and financial modeling. Students are asked to complete tasks using a sample dataset involving sales data for various products to demonstrate their proficiency in these Excel topics. The final sections involve consolidating data from multiple sheets, analyzing the results, and preparing a report with recommendations for management.
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ACE 427 Homework 1
Spring 2016
Homework 1
The purpose of this homework is to introduce you to one of the most important concepts in
commodity price analysis—the random walk model. To obtain the data for the homework, go to
the farmdoc website and collect the US monthly average price received for hogs from January
1960 – November 2015. A downloadable Excel file with the data can be found at this link:
http://www.farmdoc.illinois.edu/manage/uspricehistory/us_price_history.html. The link for the
price data is at the bottom of the purple area of the tool.
1. Produce a line plot of the entire data series on one page. Do your best to format the chart
in a useful manner.
2. Produce a scatter plot where x is the previous month hog price and y is the current month
hog price. Note you will lose one observation when you construct the series for this plot.
In other words, generate a second price column which is the original data lagged by one
month, e.g. row #1 Feb 60 Jan 60; row #2 Mar 60 Feb 60, and so on. Show the
regression of y on x on the chart along with the equation and R2.
3. Generate the monthly change in hog prices. Simply subtract last month’s price from this
month’s price.
4. Produce a scatter plot where x is the previous change in the monthly hog price and y is
the current change in the monthly hog price. Note you will lose two observations when
you construct the series for this plot. Show the regression of y on x on the chart along
with the equation and R2.
5. Discussion:
a. What does the plot in #2 suggest about the predictability of monthly hog prices?
b. What does the plot in #4 suggest about the predictability of monthly hog prices?
c. How can the two predictability results be reconciled? Do some digging on the
random walk model. One well written paragraph is sufficient.
Guide excel lessons 5 (v1.0 jmd 14.04.2020)
This document provides instructions for an Excel exercise to count the number of times and hours per week that various tasks are performed. It explains how to use COUNTIFS and formatting formulas to calculate the number of times a task marked with a Y occurs each day and then copy this down for all tasks. It also details how to format cells to display hours, minutes, and seconds and calculate the total hours per week for each task and for all tasks combined. The final steps ask the learner to adjust the data to make the total weekly hours equal 52 hours.
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Bro. Oh Teik Bin 🙏🤓🤔🥰
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Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
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- 1. INFORMATION TECHNOLOGY/COMPUTER APPLICATIONS APPLICATION PROGRAM: MICROSOFT EXCEL EXCEL EXERCISE 1: 1) Create the spreadsheet exactly as shown in the illustration. A B C D E F G 1 BELTS GLOVES SCARVES 2
- 3. 2) Save the file as SALES in your folder. 3) Make the following changes or corrections as indicated: a. Go to cell C1: Change the label to HATS. b. Go to cell A3: Change JAN. to JANUARY c. Go to cell A5: Change FEB. to FEBRUARY d. Go to cell A7: Change MAR. to MARCH e. In cell C3: Enter the number 882 f. In cell C5: Enter the number 673 g. In cell C7: Enter the number 912 h. In cell E3: Enter the number 534 i. In cell E5: Enter the number 498 j. In cell E7: Enter the number 210 k. In cell G3: Enter the number 570 l. In cell G5: Enter the number 425 m. In cell G7: Enter the number 125 4) Resave the file. EXCEL EXERCISE 2: 1) In a new spreadsheet enter the values exactly as shown in the illustration. A B
- 4. C D E F G 1 2 NAME GROSS PAY S.S.T. F.W.T. NET PAY 3 4 DEMBO, S. 366.75 25.67 73.35
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