Question: Microsoft Excel - Book2 Cla : A A 24 - Calibri * $ a4 * U I B - A26 - B R S 1

Microsoft Excel - Book2 Cla : A A 24 - Calibri *

Microsoft Excel - Book2 Cla : A A 24 - Calibri * $ a4 * U I B - A26 - B R S 1 Date 1 3.E 55 Pre-COVID-19 3 X1 Date 2020/ET2 5 150 Post-COVID-19 Y2 X2 .150 . Date * 5 E.E 35 X for support your answer with the appropriate statistical evidences. C D E F G | H K M N C P | 1/Nov/2012 | 23/Nov/2012 | 3/Nov/2015 | /Nov/2012 | 5/Nov/2015 | 6/Nov/2012 | 7/Nov/2012 | 23/Nov/2015 | 5/Nov/2012 | 10/Nov/2012 | 11/Nov/2013 | 12/Nov/2012 | 13/Nov/2019 | 12/Nov/2015 | 15/Nov/2015 3525.1 32 22.5 29 25.1 59062 5907.0 35 35. 59 26.0 39. 3525.1 3523.1 59 05.0 59 26.6 59 26.6 59041 5.2 5.3 . . 5.3 5.0 6.0 7.1 . 5.3 5. . 5.5 5.1 . 1/Apr/2020 3/Apr/2020 /Apr/2020 | 5/Apr/2020 | 6/Apr/2020 | 7/4pr/2020 /Apr/2020 2/Apr/2020 | 12/Apr/2020 | 11/Apr/2020 | 12/Apr/2020 | 13/Apr/2020 | 12/Apr/2020 | 15/Apr/2020 1E05.2 1610.3 1510. 1510.2 1525.1 15042 1628.8 1E05.3 1510.1 1E27.9 158.1 1503.0 1608.2 11.0 11. 12.4 . 10.0 10.2 10.3 12.3 10.3 7.4 5.0 11.4 10.1 | 16/Nov/2019 | 17/Nov/2015/12/Nov/2019 | 15/Nov/2019|20/Nov/2019 | 21/Nov/2012 | 23/Nov/2012 | 23/Nov/2019 | 22/Nov/2015 | 25/Nov/2015 | 26/Nov/2015 | 27/Nov/2012 | 23/Nov/2019 | 29/Nov/2019 | 30/Nov/2015 29 28.5 3907.2 3926.2 3909.4 3905.4 5528.3 39043 59 26.5 3903.7 39 23.5 29 28.4 3909. 3904.8 5. 5. 7.2 5. 6.4 5.3 6.8 6.0 .1 5.5 73 16/Apr/2020 | 17/Apr/2020 | 12/Apr/2020 | 19/Apr/2020 | 20/Apr/2020 | 21/Apr/2020 | 22/Apr/2020 | 23/pr/2020 | 24/Apr/2020 | 25/Apr/2020 | 26/Apr/2020 | 27/Apr/2020 | 22/Apr/2020 29 /Apr/2020| 30/Apr/2020 1610.2 1E12.5 1E09.9 1E22.2 1E06.3 1532.9 15.4 15235 159.5 1611.2 1510.2 15133 1E06.9 110.4 15132 2. . 8.8 11.2 11.1 12.5 2.5 2. 10.2 11 10.1 1/Dec/2019 | 2/Dec/2019 | 3/Dec/2012 | 4/Dec/2012 | 5/Dec/2015 6/Dec/2012 | 7/Dec/2015 | 27/Dec/2012 | 5/L=2019 | 10/Dec/2012 | 11/Dec/2012 | 12/Dec/2012 | 13/Dec/2012 | 12/Dec/2012 | 15/Dec/2015 5924.5 32 26.1 5904.2 32 25.2 5903.6 249.0 32 25.5 32 25.2 5924. 35 346 5924.1 354 5. 6.0 5.2 5.1 | 6.1 | 5.0 . 2.8 5.2 5.0 5. | 5.0 6.6 5. . 1/May/2020 | 2/May/2020 | 3/May/2020 | 2/May/2020 | 5/May/2020 | 6/May/2020 | 7/May/2020 | 2/May/2020 | 2/May/2020 | 10/May/202011/May/2020|12/May/202013/May/2020 | 14/May/2020| 15/May/2020 1E05. 1608.2 1609.8 1E07.1 1E120 1628.5 16075 1606 16109 1628.0 16073 1607.1 1E06.2 1611. 1611.1 10.5 9.9 2.1 2. 9.3 12.8 11.1 9.3 . 9.7 . 10.4 11.3 8.0 13.1 3939.0 Pre-COVID-19 Y1 X1 Date Post-COVID-19 Y2 X2 . Date 3.E 35 .E 55 E.E 35 Pre-COVID-19 V1 X1 Date Post-COVID-19 Y2 X2 Date 2019=Lec / 2019 | 30 / L 2|2019=Dec / 2012 | 17 / Dec / 2019 | 18 / Dec / 2019 | 19 / Dec / 2019 | 20 / Dec / 2015 | 21 / Dec / 2015 | 22 / Dec / 2012 | 23 / L = 2019 | 24 / Le / 2015 | 25 / Le / 2015 | 26 / Dec / 2015 | 27 / Dec / 2012 | 23 / L/16 Pre-COVID-19 Y1 X1 554. 5.0 39 249 6.3 3906.2 5.6 5903.0 55 3907.1 5.3 32229 5.0 3908.2 5.1 5523.9 3.3 3922.2 6.9 59 26.6 5.1 39 25.6 5. 59 26.3 6.5 59 24.1 5.0 524.1 6.3 39 24.7 . 10 11 12 13 14 15 1E 17 12 19 20 21 22 23 24 25 2E 27 25 25 30 31 32 33 34 Date 2020/May2020 | 30 / May/2020/May / 2020 | 26 / May / 2020 | 27 / May2020 22 / May/25 May202/22 May202/23/302/May / 202017 May 2020 | 12 / May / 202019 / May / 2020 20 / May / 2C2021 / May202022 / May/16 Post-COVID-19 Y2 X2 1610.8 5.1 160E3 11.4 1609 3.6 1626.3 12.1 1626.8 10.4 1506.9 11.4 1612,0 . 16085 5.3 1612.5 . 16073 10.2 1609.4 5.5 1507.g 5.2 1605; 13.2 16113 5.1 16075 10.6 To what extent is there a change in the pattern or the power of the relationship Pre- and Post- COVID-19 between the daily inventory holding cost (X) and the daily sales (Y)? Support your answer with the appropriate statistical evidences. Dataset-E (39) + | 2 | Type here to search E H e R ) ENG 4:23 PM 7/29/2020 Microsoft Excel - Book2 Cla : A A 24 - Calibri * $ a4 * U I B - A26 - B R S 1 Date 1 3.E 55 Pre-COVID-19 3 X1 Date 2020/ET2 5 150 Post-COVID-19 Y2 X2 .150 . Date * 5 E.E 35 X for support your answer with the appropriate statistical evidences. C D E F G | H K M N C P | 1/Nov/2012 | 23/Nov/2012 | 3/Nov/2015 | /Nov/2012 | 5/Nov/2015 | 6/Nov/2012 | 7/Nov/2012 | 23/Nov/2015 | 5/Nov/2012 | 10/Nov/2012 | 11/Nov/2013 | 12/Nov/2012 | 13/Nov/2019 | 12/Nov/2015 | 15/Nov/2015 3525.1 32 22.5 29 25.1 59062 5907.0 35 35. 59 26.0 39. 3525.1 3523.1 59 05.0 59 26.6 59 26.6 59041 5.2 5.3 . . 5.3 5.0 6.0 7.1 . 5.3 5. . 5.5 5.1 . 1/Apr/2020 3/Apr/2020 /Apr/2020 | 5/Apr/2020 | 6/Apr/2020 | 7/4pr/2020 /Apr/2020 2/Apr/2020 | 12/Apr/2020 | 11/Apr/2020 | 12/Apr/2020 | 13/Apr/2020 | 12/Apr/2020 | 15/Apr/2020 1E05.2 1610.3 1510. 1510.2 1525.1 15042 1628.8 1E05.3 1510.1 1E27.9 158.1 1503.0 1608.2 11.0 11. 12.4 . 10.0 10.2 10.3 12.3 10.3 7.4 5.0 11.4 10.1 | 16/Nov/2019 | 17/Nov/2015/12/Nov/2019 | 15/Nov/2019|20/Nov/2019 | 21/Nov/2012 | 23/Nov/2012 | 23/Nov/2019 | 22/Nov/2015 | 25/Nov/2015 | 26/Nov/2015 | 27/Nov/2012 | 23/Nov/2019 | 29/Nov/2019 | 30/Nov/2015 29 28.5 3907.2 3926.2 3909.4 3905.4 5528.3 39043 59 26.5 3903.7 39 23.5 29 28.4 3909. 3904.8 5. 5. 7.2 5. 6.4 5.3 6.8 6.0 .1 5.5 73 16/Apr/2020 | 17/Apr/2020 | 12/Apr/2020 | 19/Apr/2020 | 20/Apr/2020 | 21/Apr/2020 | 22/Apr/2020 | 23/pr/2020 | 24/Apr/2020 | 25/Apr/2020 | 26/Apr/2020 | 27/Apr/2020 | 22/Apr/2020 29 /Apr/2020| 30/Apr/2020 1610.2 1E12.5 1E09.9 1E22.2 1E06.3 1532.9 15.4 15235 159.5 1611.2 1510.2 15133 1E06.9 110.4 15132 2. . 8.8 11.2 11.1 12.5 2.5 2. 10.2 11 10.1 1/Dec/2019 | 2/Dec/2019 | 3/Dec/2012 | 4/Dec/2012 | 5/Dec/2015 6/Dec/2012 | 7/Dec/2015 | 27/Dec/2012 | 5/L=2019 | 10/Dec/2012 | 11/Dec/2012 | 12/Dec/2012 | 13/Dec/2012 | 12/Dec/2012 | 15/Dec/2015 5924.5 32 26.1 5904.2 32 25.2 5903.6 249.0 32 25.5 32 25.2 5924. 35 346 5924.1 354 5. 6.0 5.2 5.1 | 6.1 | 5.0 . 2.8 5.2 5.0 5. | 5.0 6.6 5. . 1/May/2020 | 2/May/2020 | 3/May/2020 | 2/May/2020 | 5/May/2020 | 6/May/2020 | 7/May/2020 | 2/May/2020 | 2/May/2020 | 10/May/202011/May/2020|12/May/202013/May/2020 | 14/May/2020| 15/May/2020 1E05. 1608.2 1609.8 1E07.1 1E120 1628.5 16075 1606 16109 1628.0 16073 1607.1 1E06.2 1611. 1611.1 10.5 9.9 2.1 2. 9.3 12.8 11.1 9.3 . 9.7 . 10.4 11.3 8.0 13.1 3939.0 Pre-COVID-19 Y1 X1 Date Post-COVID-19 Y2 X2 . Date 3.E 35 .E 55 E.E 35 Pre-COVID-19 V1 X1 Date Post-COVID-19 Y2 X2 Date 2019=Lec / 2019 | 30 / L 2|2019=Dec / 2012 | 17 / Dec / 2019 | 18 / Dec / 2019 | 19 / Dec / 2019 | 20 / Dec / 2015 | 21 / Dec / 2015 | 22 / Dec / 2012 | 23 / L = 2019 | 24 / Le / 2015 | 25 / Le / 2015 | 26 / Dec / 2015 | 27 / Dec / 2012 | 23 / L/16 Pre-COVID-19 Y1 X1 554. 5.0 39 249 6.3 3906.2 5.6 5903.0 55 3907.1 5.3 32229 5.0 3908.2 5.1 5523.9 3.3 3922.2 6.9 59 26.6 5.1 39 25.6 5. 59 26.3 6.5 59 24.1 5.0 524.1 6.3 39 24.7 . 10 11 12 13 14 15 1E 17 12 19 20 21 22 23 24 25 2E 27 25 25 30 31 32 33 34 Date 2020/May2020 | 30 / May/2020/May / 2020 | 26 / May / 2020 | 27 / May2020 22 / May/25 May202/22 May202/23/302/May / 202017 May 2020 | 12 / May / 202019 / May / 2020 20 / May / 2C2021 / May202022 / May/16 Post-COVID-19 Y2 X2 1610.8 5.1 160E3 11.4 1609 3.6 1626.3 12.1 1626.8 10.4 1506.9 11.4 1612,0 . 16085 5.3 1612.5 . 16073 10.2 1609.4 5.5 1507.g 5.2 1605; 13.2 16113 5.1 16075 10.6 To what extent is there a change in the pattern or the power of the relationship Pre- and Post- COVID-19 between the daily inventory holding cost (X) and the daily sales (Y)? Support your answer with the appropriate statistical evidences. Dataset-E (39) + | 2 | Type here to search E H e R ) ENG 4:23 PM 7/29/2020

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