In one-way ANOVA, the amount of total variation that is unexplained is measured by the:

In one-way ANOVA, the amount of total variation that is unexplained is measured by the:
 a. sum of squares for treatments. c. total sum of squares.
  b. degrees of freedom. d. sum of squares for error.

Q. 2

Which method would you recommend to your statistics professor in selecting the appropriate forecasting model if avoiding large errors is extremely important to him or her?
 a. Mean absolute deviation (MAD)
  b. Sum of squares for forecast error (SSE)
  c. Either a or b
  d. Neither a nor b

Q. 3

In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is rejected if:
 a. MST is much larger than MSE. c. MST is equal to MSE.
  b. MST is much smaller than MSE. d. None of these choices.

Q. 4

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:
 a. t + 1
  b. t
  c. t - 1
  d. t - 2

Q. 5

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.

Q. 6

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

Q. 7

We can use the F-test to determine whether 1 is greater than 2.
  Indicate whether the statement is true or false