Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 3375.0 3375.0 20.5 0.000 Residual Error 174 28640.4 164.6 Total 175 32015.4 The -statistic is _________________. The -value is ____________________. Choose the conclusion of this test using a 5% significance level. -Reject H0. The model is not effective. -Do not reject . We did not find evidence that the model is not effective. -Reject H0. The model is effective. -Do not reject . We did not find evidence that the model is effective.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Use the following ANOVA table for regression to answer the questions.
Analysis of Variance
| Source | DF | SS | MS | F | P |
| Regression | 1 | 3375.0 | 3375.0 | 20.5 | 0.000 |
| Residual Error | 174 | 28640.4 | 164.6 |
| Total | 175 32015.4 |
The -statistic is _________________.
The -value is ____________________.
Choose the conclusion of this test using a 5% significance level.
-Reject H0. The model is not effective.
-Do not reject . We did not find evidence that the model is not effective.
-Reject H0. The model is effective.
-Do not reject . We did not find evidence that the model is effective.
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