As chocolate consumption increases, happiness increases. But only up to a point! When you eat too much, the opposite pattern emerges. What weakness of correlation does this illustrate? 1)Correlation is only for curvilinear relationships. 2)Correlation implies causation 3)Correlation is only for linear relationships 4)Correlation does not imply causation

As chocolate consumption increases, happiness increases. But only up to a point! When you eat too much, the opposite pattern emerges. What weakness of correlation does this illustrate? 1)Correlation is only for curvilinear relationships. 2)Correlation implies causation 3)Correlation is only for linear relationships 4)Correlation does not imply causation

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Two variables are found to have a strong positive linear correlation. Pick the correct statement. An increase in one variable potentially causes a decrease in the other. An increase in one variable does not cause a decrease in the other. An increase in one variable does not cause an increase in the other. An increase in one variable potentially causes an increase in the other. An increase in one variable causes a decrease in the other. An increase in one variable causes an increase in the other.
If r? value is positive, then the correlation coefficient can be positive or negative. TRUE FALSE
True or false .If there is no linear correlation between enrollment and the number of burglaries , then those two variables are not related in anyway. Explain why ?
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
In correlational research the Null hypothesis states that Choose one the correlation coefficient is 0 or The correlation is significantly different between groups or the correlation coefficient is 1.00 or -1.00
Problem; In a research study, a researcher studied the relation between calf circumference, hip breadth and nutrition. He produces the fol- lowing correlations: Calf Hip Breadth Nutrition Circumference Calf Circumference Hip Breadth Nutrition .50 .26 .52 .52 .50 .26. What is the effect of Hip Breadth and Nutrition on the calf cir- cumference.
A student noticed that when she gets less than 8 hours of sleep at night, she scores lower on her test grades. Can one conclude that this positive correlation shows a causal relationship? OYes, because it is well known that less sleep lowers test scores OYes, because it is not a negative correlation O No, because all students get less than 8 hours of sleep at night No, because it is possible that the student gets lower test grades because of another factor, such as not studying
Fully explain the issues and problems with the below correlational data. Focus on the data in the highlighted box versus the rest of the data. Do not try to explain the data, but rather focus on the statistical issues and problems. IF YOU CAN'T SEE THE IMAGE HERE. PLEASE GO TO THIS LINK Linke 10 6. 8. 7. 5. 4. 10 20 30 40 50 60 70 80 90 100 Age Enjoyment of Hip-Hop
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
3
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
The correlation between amount of sleep students get the night before the test and their performance shows that the less sleep they get the lower their grades. This would be an example of Group of answer choices no correlation a negative correlation a spurious correlation a positive correlation