When two variables are measured and a determination regarding whether there is a numerical relationship between the variables, this is a(n):
a. Experimental study b. Correlational Study c. Both
When two variables are measured and a determination regarding whether there is a numerical relationship between the variables, this is a
ans-> Both
When two variables are measured and a determination regarding whether there is a numerical relationship between...
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...
A large sample of data is collected in order to study the relationship between the two variables X and Y to investigate whether X can be used to predict the value of Y. It is found that r = -.75. Which one of the following statements is true? A The coefficient of determination is equal to -.75 B The coefficient of determination is equal to .75 C The coefficient of determination is equal to -.5625 D The coefficient of determination...
-It would not be appropriate to use the Mann–Whitney U test when: a researcher is comparing two independent populations. the dependent variable is measured at the ordinal level. the assumptions for an independent-samples t test are not met. a researcher is comparing three or more groups on a normally distributed dependent variable. -Kia assesses people's levels of gratitude and stress that occur naturally to determine if a relationship exists between the two variables. Kia is using a(n): correlational design experimental...
When investigating the relationship between two quantitative variables, we sometimes transform one of the variables in order to: a) change a linear relationship into a nonlinear one. b) conserve space. c) more accurately portray the variable. d) make the data look more Normal.
Both chi-square and Pearson’s r provide information regarding the relationship between two variables. However, Pearson’s r is a more advanced statistic. Indicate why this is the case by listing two advantages that Pearson’s r has over the chi-square statistic. (3 points each) 1. 2.
When there is a nonlinear relationship between two variables, the slope will A. be zero. B. be infinite. C. be constant as we move along the curve. D. change as we move along the curve.
Question #1 Explain what is meant by a positive relationship between two variables and a negative relationship between two variables. Describe examples of situations in which one would expect to find a positive relationship and when one would expect to find a negative relationship. Can one assign direction when both variables in a table are dichotomous?
You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 22, you determine that SSR = 80 and SSE = 20. Construct the ANOVA table, test for model significance at a 0.05 level of significance and state your conclusion, and calculate the coefficient of determination and interpret its meaning.
3F)What is the coefficient of determination and what is it telling you about the relationship between these two variables?
Question 1 Descriptive statistics is: a. Used to demonstrate the relationship between two variables b. Expressing the average distance that the scores in a set of data fall from the mean c. Measure of the degree of relationship between two variables d.Description of the average score & a description of how spread out or close together the data lie What is the independent variable in the following experimental title: The effect of regulating stress reactions on personality in adolescents with...