40. Compute the seasonal averages, seasona! variations and seasonal indicesfor the following time series.201520162017Jan.152325Feb.162225March182835AprilMayJune18273623003136000.88232830JulyAug.Sept.20223028283429323847Oct.3337Nov.3334ST41Dec.384453

Answered: Image /qna-images/answer/2ebf8c19-1bea-4019-857d-d10b069f9764.jpg

Answered: 40. Compute the seasonal averages,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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C. The following data represent the average monthly temperatures for Washington, D.C. Month, x Average Monthly Temperature, °F 34.6 37.5 47.2 56.5 66.4 75.6 80.0 78.5 71.3 59.7 49.8 39.4 January, 1 February, 2 March, 3 April, 4 May, 5 June, 6 July, 7 August, 8 September, 9 October, 10 November, 11 December, 12 1) What is the regression equation for the average temperature in Washington, D.C.? 2) Find the predicted value for March of the following year.
For the following table of data 30 70 7 47 13 60 0 91 33 44 40 9 67 55 65 12 140 77 49 77 110 98 21 22 44 33 44 18 10 33 30 20 110 109 54 17 40 102 33 17 55 16 90 12 175 44 33 33 7 82 BE CAREFUL WHEN YOU ENTER THE ANSWER AND BE SURE TO READ WHICH LETTER IS BEING ASK BEFORE YOU WRITE THE ANSWER. Data Frequency Cumulative Frequency Relative Frequency 150-179 120-149 90-119 60-89 30-59 0-29
1. FIND MEDIAN 2. FIND 25TH AND 75TH PERCENTILE 3. FIND IQR 4. FIND UPPER AND LOWER HINGE 39 40 40 40 42 45 46 47 47 47 47 48 50 50 50 50 55 55 55 56 56 57 59 60 62 62 65 66 66 68 68 70 72 75 76 76 77 78 78 78
1. FIND MEDIAN 2. FIND 25TH AND 75TH PERCENTILE 3. FIND IQR 4. FIND UPPER AND LOWER HINGE 5. OUTSIDE VALUE 6. FAR OUT VALUE 7. UPPER ADJACENT 8. LOWER ADJACENT 105 108 110 113 115 118 120 120 122 25th 124 125 125 126 126 126 128 130 133 139 MEDIAN 152 156 170 172 174 180 182 189 189 75th 190 190 192 194 197 198 206 206 210 212 224 226
3. Listed below are the speeds from 30 random speeding tickets in Denver over the last week. Create a frequency/relative frequency distribution. 48 92 50 29 40 129 43 108 39 42 57 42 104 83 45 81 45 123 38 48 45 67 32 65 42 46 80 46 100 98
the table below shows the number of books the Jefferson Middle school students read each month for nine months. Month Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May Number of Books 293 280 266 280 289 279 275 296 271 If the students read only 101 books for the month of June, which measure of central tendency will have the greatest change? O A. All measures will have an equal change. O B. The mean will have the greatest change. O C. The mode will have the greatest change. O D. The median will have the greatest change.
Recent BASEBALL Team Payrolls and Wins Team Payroll Wins Boston Red Sox 197.041 93 Cleveland Indians 124.116 102 Los Angeles Angels 166.375 80 New York Yankees 196.39 91 Arizona Diamondbacks 127.829 93 Colorado Rockies 127.829 87 Philadelphia Phillies 100.041 66 San Diego Padres 69.624 71 Detroit Tigers 199.751 64 New York Mets 154.437 70 Seattle Mariners 154.319 78 Chicago Cubs 172.2 92 Atlanta Braves 122.603 72 Milwaukee Brewers 63.061 86 Toronto Blue Jays 163.382 76 Los Angeles Dodgers 241.149 104 Minnesota Twins 108.103 85 St. Louis Cardinals 148.153 83 Oakland Athletics 81.738 75 Texas Rangers 165.348 78 Houston Astros 124.344 101 Washington Nationals 164.335 97 Cincinnati Reds 95.376 68 Chicago White Sox 97.8 67 Miami Marlins 115.406 77 San Francisco Giants 180.823 64 Baltimore Orioles 164.326 75 Kansas City Royals 143.006 80 Pittsburgh Pirates 95.807 75 Tampa Bay Rays 70.065 80 1) If an MLB team spent an additional…
Using the method of simple averages find the seasonal indices for the following data : Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Year 1996 15 16 18 18 23 23 20 28 29 33 33 38 1997 23 22 28 27 31 28 22 28 32 37 34 44 1998 25 25 35 36 36 30 30 34 38 47 41 53
For a certain company, the monthly percentages of all shipments recelved on time over the past 12 months are 80, 82, 85, 83, 82, 84, 85, 84, 82, 83, 84, and 83. (a) Construct a time series plot. 86 86 86 86 85 85 85 84 84 84 83 82 82 81 80- 79 79 79 78 78 78 78 77 + 77 77 77 0 1 2 3 4 5 6 78 9 10 11 12 13 0 1 2 3 4 3 6 7 8 9 10 11 12 13 0 1 2 3 4 5 6 7 8 9 10 11 12 13 0 1 2 3 456 7 8 9 10 11 12 13 Month Month Month Month What type of pattern exists in the data? O The last two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a horizontal pattern. O Overall, the time series plot exhibits a consistent trend pattern. O The first two points may be an indication of a shift to a new level, but overall the time series plot exhibits a cyclical pattern. O The first two points may be an indication of a shift to a new…
Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282
Calculate the seasonal variation indices by the method of link relatives for the following figures : Quarterly Figures for Five Years Yrs. 1994 1995 1996 1997 1998 Qrs. 45 48 49 62 60 63 65 70 56 63 II 54 III 72 70 75 83 IV 60 56 65 72 86
John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)

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