Correlation coefficients are used to:
A. Look for a difference between multiple variables
B. Find a relationship between variables in one sample
C. Look for a difference among multiple samples
Correlation coefficients are used to:
A. |
Look for a difference between multiple variables |
|
B. |
Find a relationship between variables in one sample |
|
C. |
Look for a difference among multiple samples |
|
D. |
Find a relationship among multiple sample groups (this is not the correct choice as other answers posted say) |
Correlation coefficients are used to: A. Look for a difference between multiple variables B. Find a...
The correlation coefficients can be used to measure Select one: O a. The relationship of two independent variables to each other. O b. The relationship of two related variables to each other. O C. The relationship between two dependent variables to each other. d. All of the above.
What is the difference between simple correlation and multiple correlations?Thecorrelation is said to be simple when relationship between the two variables only is being studied whereas
The Scatter Diagram... A shows the type of correlation that may exist between two variables. B shows the relationship between the mean and standard deviation of the data. C displays the amount of variablility in multiple samples. D requires the data be plotted in time order sequence.
(8 points) Match the following sample correlation coefficients with the explanation of what that correlation coefficient means. Type the correct letter in each box. 1. r = -.15 2. r = 0 3. r = 1 4. r = -97 A. a strong negative relationship between x and y B. no relationship between x andy C. a weak negative relationship between x and y D. a perfect positive relationship between x and y Note: You can earn partial credit on...
Multiple choice questions 1. Which of the following correctly describes the difference between paired and independent sample data? A) Independent samples operate based on a known o, whereas paired samples may operate with a sample standard deviation. B) Independent samples are used to address the difference between two separate populations, whereas paired samples involve a matched analysis. C) Independent samples incorporate at distribution, whereas paired samples may use the z distribution for approximation. D) Independent samples always have the same...
16. The correlation coefficient p between two variables is -0.63 for a sample of 20 observations. The null hypothesis is Ho : p = 0. Which of the following is a correct conclusion based on the data given? Use the 0.05 significance level. A. Reject the null H. There is a negative association between the variables. B. Do not reject the null Ho. There is a negative association between the variables C. Reject the null Ho. There is a positive...
41. Which of the following Pearson correlation coefficients indicates the greatest association between two groups of vegetables? a. 0.0 b. 0.1 c. 0.2 d. 0.5 e. 0.8 42. Given the following data: 1 4 2 2 3 3 y: 1 4 Find: (Exy)(Ex2)(Ex) a. 9000 b. 70 c. 6000 d. 600 e. 27,000 43. How do a binomial distribution and a multinomial experiment differ? a. by the number of trials b. by the number of categories used c. by the...
If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global Choose the correct answer below O A No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable OB. Yes. The presence of a linear correlation between two...
If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global temperature? Choose the correct answer below. O A. No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable. OB. Yes. The presence of a linear correlation between...
A research analyst states that the correlation between two variables is statistically significant from zero (with r = 0.85). Which of the following conclusion is appropriate? High values of one variable tend to be associated with low values of the other variable. For every unit of change in one variable tend to be associated with .85 values of the other variable. (C) Any association between the two variables does not appear to be linear. (D) 0.85 indicates...