Question: Explain the difference between statistical significance and whether an effect is substantively important. Show the full equation to calculate the t-statistic Multi-part question. All the
- Explain the difference between statistical significance and whether an effect is substantively important.
- Show the full equation to calculate the t-statistic
- Multi-part question. All the rest of the questions in this assignment pertain to the below regression table. Standard errors are in parentheses.
The below regression table shows the results from a regression of neuroticism (a personality characteristic) on extraversion (another personality characteristic). It uses data from the Cowles data set in the carData package, if you're interested.
neuroticism | |
(Intercept) | 13.065 *** |
(0.431) | |
extraversion | -0.129 *** |
(0.033) | |
N | 1421 |
R2 | 0.010 |
*** p < 0.001; ** p < 0.01; * p < 0.05. |
- Looking at the stars in the table, we can reject the null that the coefficient on extraversion is 0 with
| = 0.01 |
True or False
- Using a normal null distribution, what is the 95% confidence interval on the coefficient on extraversion?
- If the above regression object is stored as personality_reg, write the glht() R code that will test whether the coefficient is equal to -.18.
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