Player Jimmy Butler Bam Adebayo Duncan Robinson Tyler Herro Kendrick Nunn Trevor Ariza Victor Oladipo Kelly Olynyk Goran Dragić Andre Iguodala Avery Bradley Nemanja Bjelica Gabe Vincent Dewayne Dedmon Max Strus KZ Okpala Precious Achiuwa Maurice Harkless Meyers Leonard Chris Silva Udonis Haslem Data table Field Goal Percentage X 49.7 57 43.9 43.9 48.5 41.1 37.2 43.1 43.2 38.3 47 43.5 37.8 70.8 45.5 37.5 54.4 38.5 42.9 69.2 100 Age Y 31 23 26 21 25 35 28 29 34 37 30 32 24 31 24 21 21 22 27 224 28 40

In general, a zero correlation means as the values of one variable increase, there is a tendency for the values of the other variable also to increase. as the values of one variable increase, there is a tendency for the values of the other variableto decrease. as the values of one variable increase, there is no tendency for the values of the other variable to change in any consistent, predictable fashion. as the values of one variable decrease, there is a tendency for the values of the other variable also to decrease.

Chuck has noticed over the last several years that as he gets older, he also gets more politically conservative. What is the correlation between his age and his conservative leanings?Positive Negative Impossible to Determine ( don't hand writing solution)

A phrase often repeated in this class is "correlation is not causation". Which of the following best describes what this phrase means? Correlation is not causation means that just because two values appear to be related on a graph doesn't mean that one necessarily causes the other. Correlation is not causation means that when we see values that move together (e.g. ice cream sales and murder rates), we can assume that one must be causing the other. Correlation is not causation means that if values move in opposite directions (e.g. average temperature goes down and grades go up), we can assume that one must influence to the other. O Correlation is not causation means that when values are shown to be related in a graph, this is proof that they are not causal.

Answer the following questions with complete sentences. When you have finished everything, submit the lab to 'Assignments' folder of Blackboard by Friday, April 10t by 11:59 pm. Imagine a researcher found a positive correlation between two variables, and reported that the r value was +.3. One possibility is that there is a true correlation between these two variables. Discuss one alternative possibility that would also

The following statement contains an error. Choose the statement that best explains the error. "The correlation between shoe size and height is 0.87 inches" A. Correlation requires that both of the variables be categorical B. When stating the correlation coefficient, one must state whether it is a positive or negative relationship C. This statement does not tell us whether or not shoe size is correlated with height D. When reporting correlation, one does not report units because correlation has no units E. There is no error in this statement

If when measuring two quantitative variables on an individual, we find that increases in the first variable x correspond to decreases in the second variable y, we say that  A. there is a positive association between the two variables. b. there is a negative association between the two variables. c. there is no correlation between the two variables. d. there is a cause-and-effect relationship between the two variables.

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?).

If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global​ temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global​ temperature? Choose the correct answer below.     A. No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable.   B. Yes. The presence of a linear correlation between two variables implies that one of the variables is the cause of the other variable.

Suppose that two variables, x and y, have a correlation coefficient of −0.77. Which of the following statements are true? You must make a selection for each option. Click once to place a check mark for correct answers and click twice to empty the box for the wrong answers. check all that apply There is a strong relationship between these two variables. As x increases, y decreases. The variables have a negative linear relationship. As x increases, y increases. There is a weak relationship between these two variables.