DatasetThe stock returns are in Ringgit Malaysia (RM)YEARXY1998302246170199929725817520003172674372001316253430200232658443820033382704702004348277486200532726948720063242185152007307225524200831823554320093652546201040433758820113983386122012410347632201341033363620144253466432015424358664201642636568220175263626772018543371704201959038371020206133947352021570392735A) Find mean, mode and median for X company.

Solution-: For company X Data:…

Answered: Dataset The stock returns are in…

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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Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
The quarterly earnings of a large soft drink company have been recorded for the period 2014 - 2017. These data (in millions of rupees) are shown in the accompanying table. Year Quarter Sales Centered moving average 2014 1 52 2 67 3 85 62.03 4 54 63.38 2015 1 57 66.63 2 75 65.16 3 90 67.99 4 61 70.94 2016 1 60 70.55 2 77 73.61 3 94 71.57 4 63 72.84 2017 1 66 73.68 2 82 76.02 3 98 4 67 Find the seasonal index values using the moving averages. The trend line with de-seasonalised series was found as: Y = 62.09 + 1.14t where t is the quarter number ( t=1 for the first quarter 2014). Find the forecasted sales for the four quarters of year 2017.
Interpret the Regression Line Model New Cases New Deaths 1765 4 1097 5 891 4 959 6 937 58 1047 26 1353 9 1776 8 1952 34 1906 8 2052 11 1524 139 1453 146 1912 40 2048 137 2058 8 1895 11 2163 14 1357 69 1862 64 1783 74 2178 20 1797 54 1949 53 1581 50 1173 94 2245 95 1169 71 1849 48 2109 71 2103 80 1658 58 1583 67 1266 68 1590 55 1894 61 1941 52 1790 70 1690 52 1235 65 1345 114 1734 68 2022 26 1960 12 1928 8 1685 2 1391 7 1184 53 1744 96 1901 157 2240 239 1888 20 2288 6 1414 16 1557 22 2269 72 2651 46 2921 42 2113 29 2037 4 2067 47 1783 20 2452 15 3045 19 3439 42 3276 51 3356 5 2668 7 2886 17 3749 63 4578 87 5000 72 4899 63 5404 8 4437 11 4387 18 5290 21 7103 13 7999 30 7757 39 8019 4 5867 20 6666 47 8773 56 9838 54 9595 10 9475 11 10016 16 9296 5 6128 106
ID Cost of Airfares in the US (domestic) 1 146 2 620 3 79 4 299 5 576 6 89 7 589 8 165 9 509 10 23 11 376 12 226 13 462 14 634 15 36 16 226 17 263 18 456 19 390 20 541 21 19 22 329 23 537 24 512 25 423 26 515 27 358 28 110 29 319 30 671 31 561 32 96 33 574 34 385 35 263 36 240 37 449 38 592 39 404 40 119 41 173 42 419 43 495 44 224 45 228 46 616 47 168 48 396 49 524 What if the probability that a domestic airfare is between $300 and $400? What is the cost for the 3% highest domestic airfares? Use Excel functions Dist and Norm.INV to check your answers in Question 2-5.
The following table shows the median income, in thousands of dollars, of American families for 2003 through 2008. Year 2003 2004 Income (thousands of dollars) 52.68 54.06 2005 56.19 2006 58.41 2007 2008 61.36 61.52 (a) Plot the data. H H 62 62 61 61 60 60 59 59 58 58 57 57 56 56 55 55 54 54 53 53 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 H H. 62 62 61 61 60 60 59 59 58 58 57 57 56 56 55 55 54 54 53 53 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 (b) Use exponential regression to construct an exponential model for the income data. (Let t be years since 2003 and H be the median household income in thousand of dollars.) OH = 62.520 x 0.967 OH = 57.370 x 1.010 OH = 71.932 x 0.856 OH = 49.035 x 1.245 O H = 52.587 x 1.035 (c) What was the yearly percentage growth rate in median family income during this period? (Use the model found in part (b). Round your answer to one decimal place.)
Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions) Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions) 58.485 31.963 3.169 1.611 10.539 2.563 32.824 63.843 7.290 6.615 4.267 13.376 11.117 20.214 42.382 86.251 83.747 102.996 4.989 4.690 32.036 60.081 6.630 33.377 21.858 19.098 0.942 3.705 6.362 9.752 2.258 1.513 1.984 9.872 11.327 18.470 47.499 35.661 8.966 12.202 5.433 21.575 15.177 4.357 27.396 18.002 13.714 30.436 2.141 2.859 31.231 53.003 57.337 150.198 52.612 46.607 7.918 11.225 16.235 13.003 8.372 6.775 6.884 3.776 9.117 0.427 11.698 18.223 1.888 5.706 2.827 3.471 2.883 3.998 23.075…
For a particular red wine, the following data show the auction price for a 750-milliliter bottle and the age of the wine in June of 2016. Age (years) 37 20 29 33 41 26 29 45 34 22 Price ($) 256 142 217 255 331 168 209 297 237 182
Provide an appropriate chart for the given data

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