Which of the following tests could detect some nonlinear relationships between two variables?
Answer:
Which of the following tests could detect some nonlinear relationships between two variables?
Which two of the following statement(s) describe qualitative research? Qualitative research… a. Tests statistical relationships between concepts b. Analyzes numerical data c. Analyzes interview transcripts to generate codes, categories, and themes d. Considers data saturation e. None of the above
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.
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.
Scatter diagrams allow us to see relationships between two variables. Cite an example of two variables that might have a strong positive relationship. What would that scatter diagram look like? Next, cite an example of two variables that have very little relationship and describe what that scatter diagram would look like. Last, tell us why illustrating data in this way is helpful.
Almost all relationships between two observed characteristics or "variables" are influenced by other factors. To understand the relationship between two variables, one must often look at other variables. Careful researchers conducting statistical studies try to think of and measure possible ____________ variables, in order to correct for the influence of these variables. a.dependent b. lurking c. observational
Which of the following is not a common pitfall of regression? A. Using a regression equation beyond the range of X is very questionable. B. Nonlinear relationships cannot be incorporated. C. Concluding that a statistically significant relationship implies practical value. D. Two variables may be highly correlated to one another but one is not causing the other to change. E. If the assumptions are not met, the statistical tests may not be valid.
Relationships Between and Among Variables" Please respond to the following . Read the case study on Chapter 9, pages 191-192, in your textbook. Next, identily the independent and dependent variables, and the type of correlation coefficient used. Then, speculate on the conclusion that you would make about the direction and strength of the associations identified Justify your
Create four graphs showing the following four types of relationships between variables (Cozby p 79): positive linear relationship, negative linear relationship, curvilinear relationship, no relationship. You need to choose two variables for each different type of graph. In other words, you cannot use the same variables for all four graph. You may not use any of the examples in the textbook.
Measures of correlation are used for identifying relationships between different types of variables. The most appropriate measure of correlation to use for any given data set, depends on the type of variables and levels of measurement. Which is best? For this discussion, begin by creating an example of a correlational study. Consider what variables it would analyze and what type of data would be collected. Then, develop a main response in which you address the following: Briefly identify the topic...
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.