True or false: A correlation analysis test the association between two continuous variables.
A. True
B. False
Answer A. True
The correlation coefficient is a measure of the degree of linear association between two continuous variables.
And the correlation analysis test the association between two continuous variables.
True or false: A correlation analysis test the association between two continuous variables. A. True B....
True or false: The Pearson's correlation coefficient of +0.4 shows a stronger linear association than a correlation coefficient of -0.4 True or false: If the value of the Pearson's correlation coefficient between two variables is equal to -0.7, it means that 49% of the variability in one variable can be explained by the other.
Covariance and correlation between two variables are reported in the same units. True False
True or False? A high correlation between two variables in a scatter chart is a good way to show that the Independent Variable causes the Dependent Variable. True False
r2 = 16% indicates that there is a significant, positive correlation of 0.4 between two continuous variables. True or False?
r2 = 16% indicates that there is a significant, positive correlation of 0.4 between two continuous variables. True False.
A correlation tests whether differences exist between two variables. Question 1 options: a) True b) False Question 2 (1 point) You have tested to find whether a relationship exists between hours of sleep the night before an exam and grade on the exam. You have a participant pool of n = 30, df = 28. Your hypothesis is that a significant relationship will exist, where those with more hours of sleep receive higher grades on the exam. This is a...
True/False. Correlation is the best analysis to use if your independent and dependent variables are nominal. True False
Which of the following are true about the strength of the association between two variables? 1- The possible range of r is measured between -1.0 and 1.0 2- Positive and negative correlations are equally strong; -.50 is the same strength as .50 3- r = -.50 is a stronger correlation than r = -2.0 4- All the above
1. The Pearson’s correlation is used to test a relationship between two variables___________. A. if a non-linear relationship is tested. B. if a linear relationship is tested. C. if both variables are continuous (i.e., are measured on an interval or ratio scale). D. if both variables are measured on a nominal scale. E. A & D F. B & C 2. A researcher found a Pearson correlation of r = - 0.28 between self-reported stress level and intensity of physical...
The association between the variables "chance of health problems" and "weekly cigarette consumption" would typically be a. Positive b. Negative c. Neither If the correlation coefficient for a linear regression is 1.00. there is solid proof that a true cause-effect relationship exists between the x and y data a. True b. False If the correlation coefficient for a lnear regression is -0.932. there is sufficient evidence that a linear relationship exists between the x and y data a. True b....