: Seasonal and = amounts listed below f 020 37,237
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- Year Quarter Revenue 2005 Qtr1 5,206 In row-column format Qtr2 6,310 Quarter 2005 2006 2007 2008 2009 2010 Qtr3 6,037 Qtr1 5,206 5,226 6,103 7,379 7,169 7,525 Qtr4 5,551 Qtr2 6,310 6,476 7,733 9,046 8,267 8,674 2006 Qtr1 5,226 Qtr3 6,037 6,454 7,690 8,393 8,044 8,426 Qtr2 6,476 Qtr4 5,551 5,932 7,331 7,126 7,510 10,494 Qtr3 6,454 Qtr4 5,932 2007 Qtr1 6,103 Qtr2 7,733 Qtr3 7,690 Qtr4 7,331 2008 Qtr1 7,379 Qtr2 9,046 Qtr3 8,393 Qtr4 7,126 2009 Qtr1 7,169 Qtr2 8,267 Qtr3 8,044 Qtr4 7,510 2010 Qtr1 7,525 Qtr2 8,674 Qtr3 8,426 Qtr4 10,494…Import Illinois.xls as a table. Using logical indexing to select the years with more than 2800 cases of Diabetes. Then plot all of the data on the same axis. F1 fx Homicide B C E Year Accidents Cancer Diabetes Heart Disease Homicide| Suicide 1999 4125 25024 3004 33387 1023 1020 3 2000 4041 25365 2995 31844 991 1003 4. 2001 4077 24778 3092 30990 1087 1139 2002 4222 24737 3011 30821 1016 1145 2003 3942 24464 3044 29816 966 1011 7. 2004 4133 24289 3069 28284 871 1028 8. 2005 4182 24250 3034 28226 866 1086 9. 2006 4451 24084 2795 27007 865 1010 10 2007 4367 24115 2851 25813 863 1108 11 2008 4218 24300 2846 26078 872 1198 12 2009 3961 24185 2741 24931 881 1177 13 2010 3997 24070 2507 24959 783 1178 14 2011 4166 24007 2693 24987 812 1226 15 2012 4488 24562 2706 24667 832 1292 16 2013 4511 24491 2798 17 24839 792 1321 2014 4644 24501 2712 18 25024 792 1398 2015 4850 24713 2817 25652 19 863 1363 20 21The following information on maintenance and repair costs and revenues for the last two years is available from the accounting records at Arnie’s Arcade & Video Palace. Arnie has asked you to help him understand the relation between business volume and maintenance and repair cost. Month Maintenance and Repair Cost ($000) Revenues ($000) July $2.31 $59.00 August 3.28 53.00 September 2.80 49.00 October 2.21 65.00 November 2.30 77.00 December 1.14 105.00 January 3.12 45.00 February 3.16 51.00 March 3.02 61.00 April 2.98 63.00 May 2.04 67.00 June 1.78 79.00 July 2.60 73.00 August 2.02 67.00 September 2.57 75.00 October 2.38 77.00 November 1.43 87.00 December 0.76 117.00 January 2.58 61.00 February 2.28 63.00 March 1.69 83.00 April 1.95 87.00 May 1.95 73.00 June 1.33 69.00 Required: Using Excel, estimate a linear regression with maintenance and repair cost as the dependent variable and revenue as the independent variable.…
- . Death 2010 The January 2012 National Vital StatisticsReport by the Centers for Disease Control and Preventionincluded information on deaths in the United States forthe year 2010. The 4 most common causes-heart disease,cancer, respiratory diseases, and stroke-accounted fornearly 60% of all deaths. What problems do you see withthe graph at the top of the next column?An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…Problem 4 The quarterly sales data of one company over the past three years follow. Year 2019 Qtr1 Qtr2 Qtr3 Qtr4 2020 Qtr1 Qtr2 Qtr3 Qtr4 2021 Qtr1 Qtr2 Qtr3 Qtr4 Sum of Sales Amount 113788.668 30739.191 30274.866 26493.477 26281.134 118597.092 32277.195 31854.921 27643.779 26821.197 127046.229 33749.148 33255.927 29940.456 30100.698 Hình 1: Data Table for Exercise 4 a. Construct a time series plot. What type of pattern erists in the data? b. Use a regression model with dummy variables to develop an equation to account for seasonal effects (only) in the data. c. Compute the quarterly forecasts for next year. d. Take into account for both the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year.
- The following data were taken from the annual reports of Big Bang Inc., a manufacturer of fireworks, and Orange Inc., a manufacturer of computers. Big Bang, Inc. Orange, Inc. Cost of goods sold $830,000 $11,540,000 Inventory, end of year 190,000 320,000 Inventory, beginning of year 240,000 290,000 What is the inventory turnover for Big Bang and Orange. a. Big Bang, Inc.: 3.86Orange, Inc.: 37.84 b. Big Bang, Inc.: 3.86Orange, Inc.: 9.65 c. Big Bang, Inc.: 94.55Orange, Inc.: 37.84 d. Big Bang, Inc.: 94.55Orange, Inc.: 9.65Problem 15-8 Spreadsheet Problem: Seasonal and Trend Estimated Sales (LG15-2) John’s Bait and Fish Shop has had the monthly sales amounts listed below for the last four years. Year: 2017 2018 2019 2020 January $ 417,772 $ 585,999 $ 334,477 $ 587,237 February 113,110 138,191 166,936 114,904 March 139,878 177,804 86,993 138,381 April 428,153 392,620 512,393 458,459 May 437,586 927,701 535,856 851,239 June 743,541 1,085,502 598,028 741,220 July 1,449,469 1,250,878 1,564,443 1,580,045 August 1,428,447 1,794,651 1,850,385 1,590,062 September 1,179,475 1,023,896 683,008 725,453 October 368,881 466,181 483,351 652,794 November 257,238 389,475 262,180 310,030 December 322,024 387,349 234,914 371,080 Assuming that there are both seasonality and a trend, estimate monthly sales for each month of the coming year. Note: Round your answers to the nearest whole dollar amount.Year No. of Eastern Bluebird 1970 200 1975 300 1980 125 1985 250 1990 425 1995 450 2000 575 2005 675 2010 500 can you please solve f ,g and h a) Make a scatter plot of the number of birds vs. year record. b) Create a table with this data that compares Years Since 1900 vs. the number of birds. Fill in extra columns for Years-Since-Squared and Years*Birds. Complete the table by adding rows for column totals and column averages. c) Calculate the linear regression for this model. e) Calculate the correlation coefficient for this model. f) Translate your linear regression so that the model is now Year vs. Number of birds. g) Add the model to your scatter plot. h) Compute the residual errors for your model. i) Plot your residual errors. j) Interpolate your model to find the number of birds in 1983 and 2001.
- Month Number of Tables Produced EA 10. LO 2.3 This cost data from Hickory Furniture is for the year 2017. Factory Utility Expenses January 550 $2,063 February 710 2,663 March 650 2,438 April 470 1,823 May 512 1,920 June 625 2,344 July 805 3,019 August 750 2,813 September 675 2,531 October 525 1,969 November 875 3,281 December 685 2,569 A. Using the high-low method, express the company's utility costs as an equation where X represents number of tables produced. B. Predict the utility costs if 800 tables are produced. C. Predict the utility costs if 600 tables are produced. D. Using Excel, create a scatter graph of the cost data and explain the relationship between number of tables produced and utility expenses.QUESTION 1 According to the Insurance Information Institute, Javelin Strategy & Research, found that $16 billion was stolen from 15.4 million U.S. consumers in 2016. Assuming each person is stolen from once, what is the average amount of the thefts? If all the thefts were spread out evenly over the year, how frequently would a theft occur?Example 1 Represent the following data diagrammatically. Cost price: 3.00 8.00 5.00 3.00 2.00 Selling Price: Commodity: 5.00 13.00 10.00 8.00 8.00 Milk Wheat Chocolate Pen Salt Price of commodities
