Question 3:
a. I can tell the strength of a relationship between two variables by looking at the sign of the correlation coefficient(2 points)
b. Which correlation coefficient represents the strongest relationship between two variables: (2 points)
Answer - a) This statement is False because value of correlation coefficient is required to check strength.
Option B is correct.
Answer - b) The strongest relationship will be with the one correlation coefficient of -0.90 because its magnitude is most close to 1.
Option D is correct.
Question 3: a. I can tell the strength of a relationship between two variables by looking...
Which of the following correlations represents the strongest relationship bet variables? a. Correlation = -1.00 b. Correlation = -0.50 c. Correlation = +0.38 d. Correlation = +0.78 Which of the following correlations represents the weakest relationship between two wariables? a. Correlation = -1.00. b. Correlation = -0.40. c. Correlation = +0.18. d. Correlation = +0.88.
A correlation coefficient is computed to be -0.95 means that the relationship between two variables is weak because it is negative. True/False
Question 6A regression line can be used to determine the strength of a relationship. determine if there is a cause and effect relationship. predict Y for any X value. establish if a relationship is linear. Question 7 If the correlation coefficient R between two variables is ,it is expected that the slope of the regression line will be positive; positive positive; large negative; small positive; negative Question 8 If the slope of the simple regression line is .12, then the Pearson correlation coefficient r is expected to be positive negative small large
A box plot can be used to examine the relationship between two variables. True or false Но Done Homework 2 2·True or False A boxplot can be used to examine therelationship between two variables. O True ○ False eBook
22. The coefficient of determination explains the relationship between two variables the proportion of variance in one variable accounted for by another variable and vice versa the cause–effect relationship between two variables all of the above 23. The ____________ assumption is met if, in a scatterplot, the distance from the points to the line is relatively equal all along the line. a. homoscedasticity b. linearity c. curvilinearity d. heterolinearity 24. The strength of a relationship between two variables in correlation...
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.
If correlation coefficient between two random variables is zero, then it can be certain that they are also independent True False
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.
Which of the following Pearson r values shows the strongest relationship between two variables? A. -0.75 B. +0.37 C. +.70 D. .95
QUESTION 6 Suppose the correlation coefficient between two variables is found to be -0.94. Which of the following statements are true? there is a strong tendency for small values of one variable to be associated with large values of the other variable there is a weak negative relationship between the variables a scatter plot of the data points would show a clear downward trend there is a strong tendency for low values of one variable to be paired with low...