What is F value in Minitab?

The F-value is the test statistic used to determine whether the term is associated with the response. F-value for the lack-of-fit test. The F-value is the test statistic used to determine whether the model is missing higher-order terms that include the predictors in the current model.

How do you interpret an F value?

If you get a large f value (one that is bigger than the F critical value found in a table), it means something is significant, while a small p value means all your results are significant. The F statistic just compares the joint effect of all the variables together.

How do you find F critical value in Minitab?

Calculating a critical value for an analysis of variance (ANOVA)

  1. Choose Calc > Probability Distributions > F.
  2. Select Inverse cumulative probability.
  3. In Numerator degrees of freedom, enter 2 (the number of factor levels minus one).
  4. In Denominator degrees of freedom, enter 9 (the degrees of freedom for error).

What is a high F value in ANOVA?

The F-value in an ANOVA is calculated as: variation between sample means / variation within the samples. The higher the F-value in an ANOVA, the higher the variation between sample means relative to the variation within the samples. The higher the F-value, the lower the corresponding p-value.

Is a high F-statistic good?

The higher the F value, the better the model.

How do you find the F test statistic?

Look at the F value in the F table. For two-tailed tests, divide the alpha by 2 for finding the right critical value. Thus, the F value is found, looking at the degrees of freedom in the numerator and the denominator in the F table.

What causes a large F-statistic?

The distributions represent how tightly the data points within each group cluster around the group mean. The F-statistic denominator, or the within-group variance, is higher for the right panel because the data points tend to be further from the group average.