I need help identifying the outliers in excel and how you did
it
Back1-Ece Dica Clun Chart 1 - 1 394021.5 34021.3 30.029 2.05E 23 Residual coeficentandard Er P-valve 0.0026 Lower 95%Upper 95%ower 95.05 pper 95.0% 7.2513舲32-7776 7.261369 32.7276 t stat 19.99A49 (.367757 3.139958 Warlabic 3.413324 019546 17.46508 2.0SE- 3.022965 3.804681 3.0229GG 3.304631 RESIDLIAL OUTPLIT
| 23 24 25 26 27 2 9 3 1 2 3 34 35 3 3 3 3 40 4 4 4 44 as 46 47 4 9 50 1 52 53 55 G 57 9 OU 61 62 0.3
Homework Answers
We can make a scatter plot to identify outlier in the data.
We can also making boxplot to identify the outliers in the data.
According to the scatter plot there are 4-5 outlier present in the data i.e 248, 244.6,248.1 etc
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Back1-Ece Dica Clun Chart 1 - 40 119.4 7 170.9 20.9 43 243.1 X Variable 1Residual Plot 50 SUMMARY...
Q7 We have observed the time series shown in the following line chart: 60 50 40...
Q7 We have observed the time series shown in the following line chart: 60 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Time Which would be the most appropriate forecasting model to use for this time series? Select one: a. Regression b. Single exponential smoothing O c. Holt-Winters (including both trend and seasonality) O d. Double exponential smoothing
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Q7 We have observed the time series shown in the following line chart: 60 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Time Which would be the most appropriate forecasting model to use for this time series? Select one: a. Regression b. Single exponential smoothing O c. Holt-Winters (including both trend and seasonality) O d. Double exponential smoothing
Student #2 C- 72% 144 34 0 40 70 Student #3 74% C 148 40 10 43 55 Student # 4 50 36 A 93% 186 10 90 Student #5 B+ 87% 174 48 10 46 70 Student #6 56% 112 44 5 28 35 Student #7 65 84% 168 50 10 43 Student #8 48 B- 80% 159 46 10 55 Student #9 C+ 79% 158 50 10 73 25 Student #10 86% 172 33 5 44 90 Student...
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