explain when an observed correlation might represent a true relationship between variables and why. give examples
In some cases, an observed correlation might represent a true relationship between variables.
For example, number of hours spent studying and exam scores. Generally, you may observe that those who study for longer hours will get a higher score in the exam.
You can also observe this in College GPAs and starting salaries. Usually, those with higher GPAs will have higher starting salary, and that's probably because they "can demand" their price, and maybe, they are also in demand.
explain when an observed correlation might represent a true relationship between variables and why. give examples
Let ρ represent the true population coefficient of correlation of two variables X and Y . Suppose you want to test the hypothesis that ρ = 0. Explain how you would test this hypothesis. [Hint: by the relationship between b1 and rXY ]
In the effort to understand a relationship between two variables, correlation is an improvement over covariance, and simple regression is an improvement over correlation. Write a essay in which you explain covariance, correlation, and simple regression and why each would be preferred over the one before it. Use an imagined high school class as the target audience of your explanation.
A correlation coefficient is computed to be -0.95 means that the relationship between two variables is weak because it is negative. True/False
The Spearman correlation can be +1.00 or 1.00 even when there is no linear relationship between the two variables. Group of answer choices True False
Give an example of variables that have correlation but no causation exists? [1 sentence or a graph] You may NOT use the ice cream/crime example AND you may not copy information verbatim from websites. You may look at https://stats.stackexchange.com/questions/36/examples-for-teaching-correlation-does-not-mean-causation for examples but you need to (at a minimum) put what you find in your own words and explain what the true cause of the relationship is. In the ice cream/crime example it was found that in a particular city that...
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?
Describe in words the nature of the relationship between each pair of variables. Give a verbal description of the way the variables are related (how are changes in one variable related to changes in the other). This should include the direction of the relationship (what does it mean if the correlation value is positive or negative) and the strength of the relationship (is there a strong or weak correlation). r = -.82 between a job applicant's age and likelihood of...
WE'TITETE I rue or farse. if true, explain why it is true and/or give examples to support it. If false, explain why it is false. 10. The 'Oxidative' part of Oxidative phosphorylation creates an H20 gradient that drives the synthesis of ATP.
3. Is there a relationship (correlation) between action-potential amplitude and conduction velocity? Why or why not? **please explain in detail
Give an example of a lurking variable that might explain the nonsense correlation between time spent studying for an exam and grade received on the exam based on the scatterplot. Score on exam 100t Hours studying The lurking variable is "Current grade in the class." Students performing well in the class may not need to study long for exams. The lurking variable is "Study hours." The longer students study for the exam, the lower the grade they will receive on...