Which of the following statements correctly describes the distinction between th

Question

Which of the following statements correctly describes the distinction between the correlation coefficient (i.e., "r") and the bivariate regression coefficient (i.e., the slope of the regression line)? A. The correlation coefficient measures the strength and direction of the relationship between two variable, whereas the regression coefficient allows for unit-based prediction. B. If the correlation coefficient is "0", then the regression coefficient will always be "0" C. A negative regression coefficient implies a negative correlation coefficient. D. All of the above E. None of the above Logan runs a bivariate regression to study the relation between motivation and grades. He observes the following equation for the line of best fit: y = .56 + 80 degree motivation, where y = predicted grade. If Logan adds an additional predictor variable for IQ, which of the following will most likely happen? A. The y-intercept will become larger B. The slope term associated with motivation will become smaller C. The y -intercept will become smaller D. The r-squared term will become smaller E. None of the above Sandy wants to study the relation between math skills and vocabulary. If she plans to use correlation to test whether the two abilities relate to one another, what will the null hypothesis for her test be? A. Math skills and vocabulary are negatively related. B. Math skills and vocabulary have no relation. C. Math skills and vocabulary are related in a non-linear fashion. D. Math skills predict vocabulary, but vocabulary does not predict math skills. E. None of the above Which statement accurately describes the standard error of the mean? A. It measures the central tendency of the sampling distribution of sample means. B. It becomes larger when sample size increases. C. It smaller when the population standard deviation increases. D. It is unrelated to sample size. E. None of the above According to the central limit theorem, if an infinite number of samples drawn, then the sampling distribution of sample means will be normal if... A. The underlying population is normally distributed B. The underlying population is not normally distributed C The underlying population has no variation (i.e., sigma = 0) D. Both A & B E. Both A & C

Explanation / Answer

The following are the correct

options

18) option D

19) option B

20) option B

21) option E

22) option A

Related Questions

Navigate

• Browse (All)
• Browse W
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.