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Explain how outliers affect a Pearson correlation. Researchers identify that there is a significant relationship between number of hours studied and exam score. The linear
- Explain how outliers affect a Pearson correlation.
- Researchers identify that there is a significant relationship between number of hours studied and exam score. The linear regression equation for predicting exam score from number of hours studied is = 51+2X. Using this equation, what exam score would you expect from a student who studied for 7 hours?
- Dr. Quinzel wanted to test the effectiveness of four different doses of medication on anxiety levels, so she recruited 120 people and split them evenly into the 4 groups, giving each group a different dose of medication. Below is an ANOVA summary table from his hypothetical experiment.
Source | SS | df | MS | F |
Between | 200 | 3 | 66.67 | F=12.9 |
Within | 600 | 116 | 5.17 | |
Total | 800 | 119 |
Run a hypothesis test using an ANOVA and explain (or list) of responses to the following items. MAKE SURE TO LABEL EACH SECTION IN YOUR ANSWER USING A THROUGH F. (a) Hypotheses (b) Critical value ( = 0.05) (c) F ratio (d) Conclusion about the null hypothesis (e) Measure of effect size (f) summary of the conclusions that can be made from this study (including an interpretation of the null decision, effect size, and confidence interval)
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