[1] r = -0.15 = [C] a weak negative relationship between x and y.
[2] r= 0 = [B] no relationship between x and y.
[3] r=1 = [D] Perfect positive relationship between x and y.
[4] r= -0.97 = [A] Strong negavtie relationship between x and y.
(8 points) Match the following sample correlation coefficients with the explanation of what that correlation coefficient...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
MTQ 6- A coefficient of correlation is computed to be -2.0. It means that The relationship between two variables is weak. The relationship between two variables is strong and positive The relationship between two variables is strong and negative Correlation coefficient cannot have this value 7- Which one of the following is not unbiased estimators Sample Proportions Sample Means Sample Variances Sample Medians
Find the covariance and correlation coefficient for the following sets of data. Select the answers equal to or closest to your results. X: 50 44 47 40 54 Y: 10 13 95 7 Cov What does each measure tell you? Check all that apply. The covariance tells you that there is a weak or nonexistent linear relationship between X and Y The covariance and correlation coefficient tell you that there is a positive linear relationship between X and Y. The...
The correlation coefficient: A, Is a number with a range from -1 to 1 B. If there is no correlation, the coefficient is negative C. If the correlation coefficient is negative, it indicates a strong positive relationship between x and y D. All of the above
1. Match the correlation coefficient to its variable.
Population Correlation (choose below)
a. c
b. p (Greek rho)
c. r
d.R
c. Greek alpha
Sample Correlation (choose below)
a. c
b. p (Greek rho)
c. r
d.R
c. Greek alpha
Question 7 1 pts Which of the correlation values represent a perfect linear relationship between x and y? 0-1 O1 0.05 100
If a researcher obtained an r of -0.85, what could you say about this correlation? - This is a strong negative correlation. O This is a strong positive correlation. O This is a weak negative correlation. O This is a weak positive correlation. Question 4 1 pts If a researcher wanted to see if cumulative GPA predicts GRE scores, which of the two variables would be the predictor variable? The number of participants None of the other answers O GRE...
Let r be the correlation coefficient. Denote the explanatory variable by X and the responsible variable by Y . Which statement is correct ? (A) Positive r indicates a perfect linear relationship between X and Y . (B) r is always a number between 0 and 1. (C) r is almost 0 if values of X’s and Y ’s are all positive. (D) The correlation of variables −X and Y is −r. (E) None of the above.
For the following data (a) display the data in a scatter plot, (b) calculate the correlation coefficient r, and (c) make a conclusion about the type of correlation. The ages (in years) of 6 children and the number of words in their vocabulary Age, x 1. 2 3 4 5 6 Vocabulary size, y 500 450 1350 1750 2300 2300 (a) Choose the correct scatter plot below. A. B. c. D. 2350+.. 7 2350- 2350- Vocabulary Age Vocabulary Vocabulary ....
correlation measures the degree to which two variables are related to one another. Here are the definitions of the three possibilities: Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation....
Which of the following are true statements about the correlation coefficient r? I. A correlation coefficient of .3 means that 30% of the points are highly correlated. II. The square of the correlation measures the proportion of the y-variance that is predictable from a knowledge of x. III. Perfect correlation, that is, when the points lie exactly on a straight line is r = 0.