The Greek letter rho represents the sample estimate of the correlation coefficient.
True
False
The Greek letter rho represents the sample estimate of the correlation coefficient.
The Greek letter represents the Population estimate of the correlation coefficient.
The letter represents the sample estimate of the correlation coefficient.
The Greek letter rho represents the sample estimate of the correlation coefficient. True False
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
QUESTION 4 The Correlation Coefficient is 95.48% True False QUESTION 5 The Coefficient of Determination is 91.16% True False
Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...
Which of the following is the null hypothesis when you use the correlation coefficient? a. rho = 0 b. there is a relationship between the two variables c. there is not a null hypothesis when you test the significance of r. d. The correlation will not be negative
Is the following statement true or false? The Pearson correlation coefficient is a scaled (i.e., standardized) version of the covariance. True False
True or False: The correlation coefficient is the ratio of explained variation to total variation.
Determine whether each of the following statements regarding the correlation coefficient is true or false. The correlation coefficient equals the proportion of times that two variables lie on a straight line. The correlation coefficient will be +1.0 if all the data points lie on a perfectly horizontal straight line. The correlation coefficient measures the strength of any relationship that may be present between two variables. The correlation coefficient must always lie between –1.0 and +1.0.
TRUE or FALSE Please explain why. Regression techniques can be used to obtain the sample correlation coefficient.
A covariance coefficient is bounded between 1 and -1. True or False? A correlation of 1.0 means that a scatterplot of X and Y would result in all the values falling on a straight, downward sloping line. True or False?
True or false:1. The correlation coefficient and the covariance of two variables can have different signs. (True or False)2. Graphical analysis is a useful tool that allows the researcher to have an idea of the distribution of a data series. (True or False)3. A large data samples are usually normally distributed. (True or False)4. The standard deviation is always smaller than the variance. (True or False)