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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 99 times)

darbym82

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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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Answer to Question 1

F

Answer to Question 2

F




darbym82

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Reply 2 on: Jun 24, 2018
Wow, this really help


juliaf

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

 

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