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
solution:
the following are true about the strength of the association between two variables are
all the above is answer
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
Which of the following are true about the strength of the association between two variables? 1-...
Show work please
A researcher measures the association between the radius of the forearm (inches) and the gripping strength (pounds) of 20 teenagers given by the graph below. 70 50 90 11 1 314 Crcum The graph indicates which type of association between forearm radius and grip strength The measurement grip strength is the The type of association between circumference and grip strength is a. i. Positive ii. Negative ii. No association b. i. Explanatory variable i Response variable c....
Which of the following statements is correct? a. The stronger the linear relationship between two variables, the closer the correlation coefficient will be to 1.0. b. Two variables that are uncorrelated with one another may still be related in a nonlinear manner. c. A scatter plot showing two variables with a positive linear relationship will have all points on a straight line. d. All of the above are correct.
True or false: A correlation analysis test the association between two continuous variables. A. True B. False
Based on the three scatter plots, which show correlations
between two variables X and Y, which one of the following
statements is correct?
The relative magnitude of the three correlations is a < b
< c.
The relative magnitude of the three correlations is a = b <
c..
Scatter plot a shows a strong positive correlation
Scatter plot c shows a weak positive correlation.
Which of the following statements regarding the correlation coefficient is not true? A) The correlation coefficient has values that range from-1.0 to 1.0 inclusive. B) The correlation coefficient measures the strength of the linear relationship between two numerical variables C) A value of 0.00 indicates that two variables are perfectly linearly correlated D) All of these are true statements
Which of the following is FALSE about Correlations: We can use the Pearson Correlation Coefficient when both variables are measured on an interval or ratio scale A correlation examines the relation between two variables The Pearson Correlation Coefficient describes the relation between two variables in terms of the strength and direction of the relationship. A correlation implies causation
Which of the following statements about the correlation, r, between Y and X is NOT true? A. r measures the strength of the linear association between Y and X. B. r does not provide any information about the strength of non-linear relationships. C. r = 0 means there is no relationship between Y and X. D. Calculating r is not appropriate if the distributions of Y and X are skewed with outliers.
Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between any two variables. b.) Correlation measures the strength of the linear association between two categorical variables. c.) Correlation measures how much a change in the explanatory variable causes a change in the response variable. d.) Correlation measures the strength of the linear relationship between two quantitative variables.
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...