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 O 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.

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 O 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.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Answer parts A-D please
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?).
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 strength of the correlation is indicated by a number value and the closer that value is to zero, the weaker the correlation. O True O False
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.
There appears to be a problem with one of your contact methods. Please check your SettingS Enter the following table into your calculator or the Desmos Grapher and create the scatterplot. X 2 60 33 2,100 36 2,860 49 14,440 65 10,560 79 567,860 79 570,560 97 2,238,200 95 3,674,760 98 5282120 1. Is there a correlation for the data? If so, is it strong or weak? 2. What shape of function does the scatterplot show? 3. Use your calculator or the Desmos Grapher to find the equation for the line/curve of best fit. Now, use the equation editor to give the equation for the line/curve of best fit. 4. Determine if this equation is a good predictor of the data, using the appropriate number as proof/reasoning.
Answer to this?
When the values of x tend to increase while the values of y tend to decrease; we say that: Answer choices: a. there is a cause-and-effect relationship between the two variables. b. there is a negative correlation between the variables. c. there is no correlation between the two variables.