Exercise 2-43 Algo A financial analyst wants to compare the performance of the stocks of two internet companies, Amazon

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Exercise 2-43 Algo A financial analyst wants to compare the performance of the stocks of two internet companies, Amazon

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Exercise 2 43 Algo A Financial Analyst Wants To Compare The Performance Of The Stocks Of Two Internet Companies Amazon 1
Exercise 2 43 Algo A Financial Analyst Wants To Compare The Performance Of The Stocks Of Two Internet Companies Amazon 1 (47.86 KiB) Viewed 142 times
Exercise 2 43 Algo A Financial Analyst Wants To Compare The Performance Of The Stocks Of Two Internet Companies Amazon 2
Exercise 2 43 Algo A Financial Analyst Wants To Compare The Performance Of The Stocks Of Two Internet Companies Amazon 2 (76.49 KiB) Viewed 142 times
Exercise 2-43 Algo A financial analyst wants to compare the performance of the stocks of two internet companies, Amazon (AMZN) and Alphabet (GOOG). She records the monthly closing prices of the two stocks for the years 2016 through 2019. A portion of the data is shown in the accompanying table. Construct a line chart that shows the movements of the two stocks over time using two lines each with a unique color. Date 1-1-2016 1-2-2016 1 1-12-2019 AMZN 592.00 557.52 GOOG 747.95 702.77 1,852.84 . 1,342.02 Click here for the Excel Data File With respect to the line chart, which of the following statements is least accurate? Amazon stock price had a steep drop in the latter half of 2018. Amazon stock price had a steep drop in the latter halt of 2018 volatile, Amazon stock price seems to have a greater trajectory. GOOG stock price has an upward trend.

1 Date AMZN GOOG 2 01/01/2016 592 747.95 3 01/02/2016 $57.52 702.77 4 01/03/2016 $98.64 749.95 S01/04/2016 66459 62.01 6 01/05/2016 727.79 740.72 2 01/06/2016 720.62 69741 8 01/07/2016 763.81 772.79 9 01/08/2016 77416 77205 10 01/09/2016 842 31 78229 11 01/10/2016 7942 78954 12 01/11/2016 755.57 763.04 13 01/12/2016 773.66 776.82 14 01/01/2017 878.48 301.79 15 01/m/2017 AS000 828.21 16 01/03/2017 89154 83456 17 01/04/2017 92999 910.96 18 01/05/2017 999.62 969.86 19 01/06/2017 973 913.73 20 01/07/2017 992.78 9355 21 01/08/2017 985.6 944.33 22. 01/09/2017 966.35 56411 23 01/10/2017 111028 1021 54 24 01/11/2017 1026.41 25 01/12/2017 STAT 10514 28 01/01/2018 2455.89 117494 29. 01/02/2018 - 151745 1105.73 25 01/01/2018 165234 1036.79 29 01/04/2015 1571 13 1022:33 2001/05/2015 163462 2019.99 31 01/06/2018 17008 1120.65 32 01/07/2016 1782.44 1722.26 33 01/02/2018 2017.72 1223 19 34 01/08/2015 2008 1198.47 35 01/10/2018 1503.01 108277 36 01/11/2018 1695 17 1099.43 37 01/12/2018 1906.97 1040.61 01/01/2019 1723 73 212137 39 01/09/2019 164423 122492 2001/03/2019 178575 3178-31 01/04/2019 193152 1193.48 42 01/05/2019 178007 1108 63 431 01/05/2019 1898.63 1065 91 01/07/2019 1871.78 122153 01/06/2019 178119 11911 de 01/08/2019 374091 2224 47 01/10/2019 178166 128631 01/11/2019 1803 1308 35 01/12/2019 1234 132.00
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