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Give me a real-life example of Two variables that have a strong positive correlation. Use Google...
Give me a real-life example of a data distribution that you think is approximately normal, but with a large spread (i.e. large standard deviation). Use Google or other research methods to find the mean and standard deviation to support your claim. What reasons or conditions attribute to the large variation? (Here's my example: income - some people make minimum wage, some people make $134M over 4 years. Think of another example and do some research to find the standard deviation,...
it has to include the mean and standard deviation
This is a graded discussion: 25 points possible due Nov 17 Discussion Five Math 2 Discussion Five: (17 points) Give me a real-life example of a data distribution that you think is approximately normal, but with a large spread (ie large standard deviation). Use Google or other research methods to find the mean and standard deviation to support your claim. What reasons or conditions attribute to the large variation? (Here's my...
What does correlation does not imply causation mean? Give an example of two real-life variables that are correlated but do not have a causal relationship. Also give an example of two variables that are correlated and that also have a causal relationship.
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...
Give an example of two variables that are correlated in a strong and positive direction and two that are correlated in a strong a negative direction. Comment on any other factors that could influence their relationship and what can an cannot be inferred from these correlations.
correlation measures the degree to which two variables are related to one another. Here are the definitions of the three possibilities: Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation....
Find an example of a situation where two variables have correlation but no causation exists. [Make sure you include the graph, explain why the example is sufficient, and provide a link to the original source]
Suppose that two variables, x and y, have a correlation coefficient of 0.27. 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. The variables have a positive linear relationship. There is a weak relationship between these two variables. There is a strong relationship between these two variables As xincreases, y decreases. As x...
SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data for “Hours of Exercise” and “Life Satisfaction.” (0 = Not at all satisfied). Provide an APA-style results section write – up. (b) Graph the relationship. HINT: Below you will find instructions for the APA-style write-up. Complete the write-up on a word document and upload the file for submission. Hours of Exercise Life Satisfaction 2 6 0 2 5 13 6 15 1 3 2...
Find some "real world" data. This data needs to have two sets of numbers that correspond to each other in an exponential pattern. Choose data with at least 10 pairs of data values. Caution: Do not select specific problems already in your text! Also, please be careful not to select exponential growth models that do not need data fitting such as doubling models. For example, if you already know a particular model grows by doubling each time period, then you...