This preview shows pages 1–10. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: CHAPTER 6 A scatter plot ____. Student Response Correct Answer 1. must be linear 2. is a frequency graph of X values 3. has to do with electron scatter 4. is a graph of paired X and Y values Score: 1/1 2. If a relationship is linear, ____. Score: 1/1 3. In the equation, Y = bX + a , X and Y are ____. Score: 1/1 4. In an imperfect relationship, ____. Score: 1/1 5. The closer the points on a scatter diagram fall to the regression line, the ____ between the scores. Score: 1/1 6. Y can be most accurately predicted from X if the correlation between X and Y is ____. Score: 1/1 7. If the correlation between two variables is  1.00 and the score of a given individual is 2.20 standard deviations above the mean on one of the variables, we would predict a score on the second variable of ____. Score: 1/1 8. When a correlation exists, lowering the range of either of the variables will ____. Score: 1/1 9. Exhibit 62 A researcher wanted to know if the order in which runners finish a race is correlated with their weight. She conducts an experiment and the data is given below. Finishing order Weight (lbs) Refer to Exhibit 62. What is the appropriate correlation coefficient for this data? Score: 1/1 10. Exhibit 62 A researcher wanted to know if the order in which runners finish a race is correlated with their weight. She conducts an experiment and the data is given below. Finishing order Weight (lbs) For the data in Exhibit 62, the correlation equals ____. Score: 0/1 11. If N is small, an extreme score ____. Score: 1/1 12. What is the slope for the points X 1 = 30, Y 1 = 50 and X 2 = 25 and Y 2 = 40? Score: 1/1 13. You have conducted a brilliant study which correlates IQ score with income and find a value of r = 0.75. At the end of the study you find out all the IQ scores were scored 10 points too high. What will the value of r be with the corrected data? Score: 0/1 14. If one calculates r for raw scores, and then calculates r on the z scores of the same data, the value of r will ____. Score: 1/1 15. If 49% of the total variability of Y is accounted for by X , what is the value of r ? Score: 1/1 16. What is the value of r for the following relationship between height and weight? Height Weight Score: 1/1 17. For the following X and Y scores, how much of the variability of Y is accounted for by knowledge of X ? Assume a linear relationship. X Y Score: 1/1 18. What is the value of the Spearman rank order correlation coefficient (rho) for the following pairs of ranks?...
View
Full
Document
This note was uploaded on 07/19/2009 for the course PSY 3204 taught by Professor Shahramghiasinejad during the Summer '09 term at University of Central Florida.
 Summer '09
 ShahramGhiasinejad

Click to edit the document details