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- eBook: Excel Applications for Accounting Principles me as I TIVIL VAN14. T TITUITE WorkSheet when done. TT Print Search Annotations Accessibility Bookmark CHART ANALYSIS 5. Close the PRIMEVAR4 file and open PRIMEVAR3. Click the Chart sheet tab. On the screen is a graphical representation of the variances computed in requirement 3. Review the chart and answer the following questions: a. Which variances does each bar represent? A a F4 B C D PREVIOUS PAGE P24: Material and Labor Variances (PRIMEVAR) I A $ % 5 95 F5 R T F G 06 MacBook Air F6 & 7 O 134 X W ཚ ← DII F7 Y U H * 80 F8 ་ 9 J K ((( A NEXT PAGE 135 F9 F10 F11 F12 0 L P { [ } 17 7 < V B N M 21Type equation here.Homework 5: Chapter 17 2020 Oct 13, D. 7.28% 4. The standard deviation for the S&P S00 is A. 9.38% BUS 202 Dr. Fausti Please fill out the table below. Use your estimates from the table to answer the multiple-choice questions below. When answering the questions below remember that rounding may result in your answer being slightly different that the answers provided, so pick the answer closet to your calculation. B. 7.28% C. 0.88% D. 5.51% Date S&P IBM RR-S&P RR-IBM 5. If we use the standard deviation as a measure of financial risk which financial asset would be ranked as having the greatest financial risk? 1/1/2020 2/1/2020 3/1/2020 4/1/2020 5/1/2020 6/1/2020 7/1/2020 3226 120 NA NA 2954 125 A. S&P 500 B. IBM 2585 108 2912 122 6. If we use the coefficient of variation as a measure of financial risk which financial asset would be ranked as having the greatest financial risk? C S&P 500 D. IBM 3044 122 3100 119 3271 121 Expected RR variance RR std. dev RR Cof. VAR Yr. RR…GIVEN THE FOLLOWING DATA, COMPUTE FOR THE FOLLOWING: 1. STRAIGHT LINE METHOD 2. ARITHMETIC GEOMETRIC CURVE 3. STATISTICAL PARABOLIC CURVE WRITE A RECOMMENDATION REGARDING THE RESULTS AND WHICH OF THE NETHOD IS BEST FIT FOR THE DATA. Nate: answer on a separate document. Use excel in compute. 2. Supposed this is Yc (straightline) 450,000 370,000 750,000 1,100,000 1,500,000 1,000,000 1,700,000 2,000,000 1,900,000 2,300,000 Yi + 1 (Geometric) YEAR SALES 415,000 1 356,000 703,556 1,023,400 1,308,905 900,573 1,504,789 1,705,932 1,895,890 2,094,256 450,000 370,000 750,000 1,100,000 1,500,000 1,000,000 1,700,000 2,000,000 1,900,000 2,300,000 2011 2012 2013 3 2014 4. 2015 2016 6. 2017 2018 8 2019 2020 10
- q5- In which of the following charts the X-axis represents outcomes and the Y-axis represents the number of times or the percentage each outcome occurs in the dataset? a. A combo-chart b. A scatter plot c. A histogram d. A boxplotOn instructions #1, the answers on a sample answer sheet show Jan 1st bal 7,500,000, Apr 10th 1,500,000, Aug 15th 360,000, and Dec 31st Bal 9,360,000. Can you explain how they calculated the 360,000 and where that figure came from? Thanks!Discuss the relationship between CAPM Model and Fama and French (1993) three factors model with the index models. Give correct step by step typed answer with proper explanation of it. Will give upvote only for the correct answer. Answer within 40 min maximum . Thank you .
- I need calculator and excel steps on how to do this one....book answer = 6.07%Using Excel or a spreadsheet of your choice, create interest–time factor tables, similar to Table 20.9 , for i = 6 5% and i = 6 75% .Page 2 of 2 Assignment 2: (CLO 5): MS Excel application: Determine any four related variables, two of them are qualitative (Categorical) and two are quantitative (Numerical). a. Input sufficient data about the four variables (a random sample of 50 or more) in MS-Excel sheet. b. Prepare frequency distribution tables for one qualitative and one quantitative variable. c. Prepare appropriate graphs for each of the two tables. d. Prepare a pivot table (cross tabulation) consists of two qualitative variables (in rows and columns) and one quantitative variable as values. e. Conduct descriptive analysis for the two quantitative variables (summary measures). f. Find the coefficient of variation (CV) and compare the dispersion of the two variables.
- The following data shows the results for 20 students in one of the post graduate unit.42 66 67 71 78 62 61 76 71 6761 64 61 54 83 63 68 69 81 53Based on the information given you are required toCompute the mean, median and mode.A marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the tile MktHrsPts. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points earned and hours spent studying? Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model? Test whether each of the regression parameters β0 and β1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the sample values of total point earned does the model you estimated in part (b) explain? Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part (b) to predict the total points Mark earned.Consider the following data. 14,6,−11,−6,5,1014,6,−11,−6,5,10 Copy Data Step 2 of 3: Determine the median of the given data.