Question

In: Statistics and Probability

Value of home and life span are two variables that have been shown to have positive correlation but no cause-and-effect relationship. Describe at least one possible reason for the correlation.

 Value of home and life span are two variables that have been shown to have positive correlation but no cause-and-effect relationship. Describe at least one possible reason for the correlation.

 Select all that apply.

 A. Exercise tends to increase life spans, people who live within walking distance of amenities tend to walk more than those who do not, and homes that are within walking distance of amenities tend to be more valuable than homes that are not.

 B. Homes in large cities tend to be more valuable than homes in rural areas, large cities tend to have more pollution than rural areas, and greater exposure to pollution decreases life spans.

 C. Greater wealth allows people to afford more valuable homes and to spend more money on health care, and greater health care spending generally enables people to live longer.

 D. People who have more valuable homes tend to live more stressful lives, and stress generally decreases life spans.


Solutions

Expert Solution

option A is correct

Exercise tends to increase life​ spans, people who live within walking distance of amenities tend to walk more than those who do​ not, and homes that are within walking distance of amenities tend to be more valuable than homes that are not.

Reason:

Greater wealth allows people to afford more valuable homes and to spend more money on health​ care, and greater health care spending generally enables people to live longer.


Related Solutions

Give me a real-life example of Two variables that have a strong positive correlation. Use Google...
Give me a real-life example of Two variables that have a strong positive correlation. Use Google or other research methods to find the correlation coefficient to support your claim. What reasons or conditions attribute to the strong correlation? Do some research, but do not make up a numerical example. Two variables that have a strong negative correlation. Use Google or other research methods to find the correlation coefficient to support your claim. What reasons or conditions attribute to the strong...
Perform one correlation between two independent variables, such as Age and Relationship with Coworkers. Perform the...
Perform one correlation between two independent variables, such as Age and Relationship with Coworkers. Perform the second correlation on an independent variable (such as Relationship with Direct Supervisor) and the dependent variable (such as Workplace Happiness Rating. Gender Age Supervisor Telecommute Coworkers Happiness Engagement Overall Rating 1 29 1 1 2 7 8 15 2 32 4 1 3 9 10 19 1 39 1 1 1 4 5 8 1 25 2 1 2 5 8 13 1 27...
One of the major misconceptions about correlation is that a relationship between two variables means causation;...
One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error when the two variables seem to be related to each other. What is one instance where you have seen correlation misinterpreted as causation? Please describe.
1.Two variables have a positive non-linear correlation. Does the dependent variable increase or decrease as the...
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,...
Let's say that we have two variables X and Y. We calculate their correlation value to...
Let's say that we have two variables X and Y. We calculate their correlation value to be r = -.8012. What is the interpretation of this value?
you have been shown two cells under a microscope. One is small, contains many mitochondria and...
you have been shown two cells under a microscope. One is small, contains many mitochondria and numerous glycogen granules. The other is somewhat larger, has only a few mitochondria and no glycogen granules. (1) Explain which cell is more suited for aerobic cellular respiration. (2) Explain which cell is more suited for anaerobic cellular respiration. (3) Which cell do you think is more metabolically active and why?
If you have two regressions with intercept, one with one explanatory variable (X), and another one with two explanatory variables (X and Z), the t statistic of the intercept will have the same value in both regressions.
If you have two regressions with intercept, one with one explanatory variable (X), and another one with two explanatory variables (X and Z), the t statistic of the intercept will have the same value in both regressions.TrueFalse
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT