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Author Question: The sum of squares for error (SSE) measures the amount of variation that is explained by the ANOVA ... (Read 64 times)

darbym82

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on: Jun 24, 2018
The sum of squares for error (SSE) measures the amount of variation that is explained by the ANOVA model, while the sum of squares for treatments (SST) measures the amount of variation that remains unexplained.
  Indicate whether the statement is true or false

Question 2

The mean absolute deviation averages the absolute differences between the actual values of the time series at time t and the forecast values at time t + 1.
  Indicate whether the statement is true or false


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yasmina

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Reply #1 on: Jun 24, 2018
Answer to Question 1

F

Answer to Question 2

F


darbym82

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Reply 2 on: Jun 24, 2018
Excellent

jomama

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

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