6. Eddie finds that there is a significant negative correlation between variables X and Y. Given thisinformation, he can also conclude:that the means of X and Y differ significantly from each other.b. that the frequencies of X and Y differ from what would be expected by chance.that X affects Y.а.С.d. none of the above.

Correlation is the measure of association between the variables. A negative correlation means that…

Answered: 6. Eddie finds that there is a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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5. You have a sample of 19 students and plan to determine if a linear relationship can be used to predict the SAT score as a function of the high school GPA. What value does the correlation coefficient need to exceed, according to the r√n> 3 rule, in order for you to be able to say that the correlation between the SAT score and the high school GPA is significant, instead of it having occurred by random chance? Write your answer as a decimal correctly rounded to three decimal places.
2. Two fair dice are thrown. Let U be the minimum score of the two dice and let V be the maximum score of the two dice. a. Display f(u,v) in a table. b. Find the covariance and correlation between U and V.
3. Some sports psychologists believe that an athlete's motivation is related to how many hours they will devote to training in a 2-week period. To see if this is true, a sports trainer measures the motivation (M) and training hours (TH) of a random sample of 8 Olympic-class athletes and obtains the following data: M TH 57 40 74 46 42 38 48 36 75 54 62 42 665 76 550 69 25 a) Is there a significant correlation between M and TH in this sample (a≤.05)? (8 points) b) If another athlete obtained an M score of 70, what would his or her predicted TH score be and what are the 90% bounds to the error of this prediction? (10 points)
6. The coefficient of correlation between x and y is r = 0.59. Calculate the coefficient of determination.
6. If a calculation of Pearson's r yields a value of -.96, which of the following statements is false? a. The observed correlation between variables is negative. b. There is a small amount of negative covariance between variables relative to random error. c. A high score on one variable is associated with a low score on the other. d. This correlation is useful for predictive purposes. e. Points on a scatterplot would resemble a straight line. 7. Name the component that is used to capture data for analysis if SPSS software was used to process data. a) b) c) d) Data View Selection View Variable View Processing View
1. X and Y are two categorical variables. The best way to determine if there is a relation between them is to a. calculate the correlation between X and Y. b. draw a scatterplot of the X and Y values c. make a two-way table of the X and Y values d. all of the above
If the null hypothesis is true in a test of the Pearson’s correlation between X and Y, then __________. a. higher scores of X are paired with higher scores of Y b. none of mentioned here c. higher scores of X are paired with low and high scores of Y d. higher scores of X are paired with lower scores of Y e. lower scores of X are paired with higher scores of Y
Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. If it is found that r = 0, does that indicate that there is no association betwen these two variables? Choose the correct answer below. O A. Yes, because if r = 0, the variables are completely unrelated. O B. No, because while there is no linear correlation, there may be a relationship that is not linear. O C. No, because if r = 0, the variables are in a perfect linear relationship. O D. No, becauser does not measure the strength of the relationship, only its direction. C
Two computer companies are offering new software to universities. Let X and Y denote the number of software installed in three major universities by these two companies. Suppose that the variance of X is 583, the variance of Y is 752, and the covariance of X and Y is 179. a) Calculate the correlation coefficient (p) Select one: a. o.825 b. 0.270 c. 0.532 d. None of the answers
56. Which of the following illustrates perfect correlation? a. b. d. C.

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