1.Two variables have a positive non-linear correlation. Does the
dependent variable increase or decrease as the independent variable
increases?
A. Dependent variable would remain the same
B. Dependent variable increases
C. Cannot determine from information given
D. Dependent variable decreases
2. What does the variable ρ represent?
A. The critical value for the correlation coefficient
B. The population correlation coefficient
C. The sample correlation coefficient
D. The coefficient of determination
3.If there is a ^, or hat, above a variable,...
11. If “correlation does not imply causation,” what does it
imply?
12. What are some of the possible reasons for large correlations
between a pair of variables, X and Y?
17.What assumptions are required for a correlation to be a valid
description of the relation between X and Y?
“Correlation does not imply causality” is an important concept
when referring to regression. Briefly describe this concept.
Provide one example of how it may occur. Not exceed 100 words.
Correlation and Causality: What is meant by the statement that
correlation does not imply causality? Part 2: Cause of Global
Warming: If we find that there is a linear correlation between the
concentration of carbon dioxide (CO2) in our atmosphere and the
global temperature, does that indicate the changes in the
concentration of carbon dioxide cause changes in the global
temperature? Why or why not? Part 3: Application of concepts:
Discuss and give at least one example of how you...
Suppose the correlation between two variables is +0.8. If the range
of the predictor variable, X in the scatter plot is reduced, which
of the following could happen? (Assume no additional data are
collected and the relationship between the variables is casual)
A) correlation, R, between X and Y may decrease.
B) Overall range of Y values may increase.
C) both (a) and (b)
D) neither(a) nor (b)
a. In your own words, what is meant by the statement that
correlation does not imply causality.
b.In your own words, please describe the difference between
regression equation y=Bo+B1x and the regression equation
^y=bo+b1x?