The test statistic of the single-factor ANOVA equals: a. sum of ...

[big1devin]

The test statistic of the single-factor ANOVA equals:
 a. sum of squares for treatments / sum of squares for error.
  b. sum of squares for error / sum of squares for treatments.
  c. mean square for treatments / mean square for error.
  d. mean square for error / mean square for treatments.

Question 2

If we have 5 years of monthly observations, we may use the first four years to develop several competing forecasting models, and then use them to forecast the fifth year. Since we know the actual values in the fifth year, we can choose the technique that results in the most accurate forecast using either the mean absolute deviation (MAD) or the sum of squares for forecast error (SSE).
  Indicate whether the statement is true or false

[ky860224]

Answer to Question 1

C

Answer to Question 2

T

[big1devin]

Excellent

[raenoj]

Gracias!