Option : D
All of the above.
Correlation coefficient determine the relation between two variables.It explains the strength of relationship between to independent variables each other,two related variables to each other,two dependent variable to each other.
It determines relationship between variables if they are both independent or dependent variables or one is dependent and another is independent variable.
The correlation coefficients can be used to measure Select one: O a. The relationship of two...
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)
The correlation coefficient is a summary measure that Select one: a. is of limited use because it fails to indicate the direction of the relationship between the variables. b. indicates the change in Y for a one unit change in X. c. indicates the strength of linear relationship between a pair of quantitative variables. d. indicates the proportion of variation in Y that is explained by the variation in X. e. none of the above. In regression analysis, the F...
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...
Correlation: Correlation Does Not Mean Causation One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error, when the two variables seem to be related to each other. What is one instance where you have seen correlation misinterpreted as causation? Please describe.
In testing for correlation the relationship between two variables, the best fitting line is often call the regression equation and denoted as SELECT ALL A A) B) C) D) What formula is used to compute the slope of this line and its y intercept? E)
The phi correlation coefficient is a measure for the direction and strength of the linear relationship between two ________ variables.
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.
When the effect of a control variable is examined: a. the relationship between the independent and dependent variables may be stronger. b. the relationship between the independent and dependent variables may be weaker. c. the relationship between the independent and dependent variables may be unchanged. d. all of the above
The highest strength of association is reflected by which of the following correlation coefficients? Select one: a. -1.0 b. -0.95 c. 0.1 d. 0.85 e. none the above, as it cannot be determined
Assess whether the following correlation coefficients denote a very strong relationship, strong relationship, moderate relationship, weak relationship, or no relationship at all: a) -0.74 b) -0.12 c) +0.28 d) -0.93 e) +0.84 f) Now place these correlation coefficients in order from weakest to strongest relationship.