Question

Discuss whether or not you agree with the following two statements and explain your answer: i)...

Discuss whether or not you agree with the following two statements and explain your answer:
i) “Lack of correlation is not equivalent to the lack of dependence between variables.”
ii) “Correlations can sometimes be ‘spurious’, and the existence of correlation does not imply that the variables are related in a causal way.”

Homework Answers

Answer #1

i) I Agree with the following statement because

A lack of correlation  does not imply independence. When people use the term correlation, they are actually referring to a specific type of correlation called “Pearson” correlation. It measures the degree to which there is a linear relationship between the two variables so Lack of correlation is not equivalent to the lack of dependence between variables

ii) I agree with the following statement because

a spurious correlation, or spuriousness, refers to a connection between two variables that appears causal but is not , means that just because two things correlate does not necessarily mean that one causes the other .Correlations between two things can be caused by a third factor that affects both of them so  the existence of correlation does not imply that the variables are related in a causal way

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Discuss whether or not you agree with the following two statements and explain your answer: i)...
Discuss whether or not you agree with the following two statements and explain your answer: i) “Lack of correlation is not equivalent to the lack of dependence between variables.” ii) “Correlations can sometimes be ‘spurious’, and the existence of correlation does not imply that the variables are related in a causal way"
each of the following statements is false explain why the statement is false I can be...
each of the following statements is false explain why the statement is false I can be entered in a sentence or two a the correlation between variables XNY is found to be -0.58 this means
Indicate whether you agree or disagree with the following statements and explain your reasoning: a) Rejean...
Indicate whether you agree or disagree with the following statements and explain your reasoning: a) Rejean feels that an internal auditor that reports to the chief financial officer of the company can be as independent as an auditor that reports to the audit committee. b) Angela discovered a very material overstatement in the financial statements. She felt the misstatement would have an impact on the decisions of users of the financial statements, and indicated to her audit senior that she...
“Can using artificial sweeteners increase your BMI?” A). Identify the implied dependent and independent variables. B)....
“Can using artificial sweeteners increase your BMI?” A). Identify the implied dependent and independent variables. B). Does the headline demonstrate a positive or negative correlation between the two? C). Is there a plausible mechanism (confounding factor) through which we could explain why the independent variable has a causal impact on the outcome? D). Now try to think of reasons why this could be a spurious relationship instead and construct alternative explanations.
Determine whether the following statements are true or false. If the statement is false, then explain...
Determine whether the following statements are true or false. If the statement is false, then explain why the statement is false or rewrite the statement so that it is true. If a scatterplot shows a linear association between two numerical variables, then a correlation coefficient that is close to 1 indicates a strong positive trend and a correlation coefficient that is close to 0 indicates a strong negative trend.
Which of the following statements concerning the linear correlation coefficient are true? I: If the linear...
Which of the following statements concerning the linear correlation coefficient are true? I: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. II: If the slope of the regression line is negative, then the linear correlation coefficient less than one. III: The value of the linear correlation coefficient always lies between -1 and 1. IV: A linear correlation coefficient of 0.62 suggests a stronger linear relationship than a linear correlation coefficient...
To what extent do you agree with the following statements? a) the best test of the...
To what extent do you agree with the following statements? a) the best test of the performance of two different regression equations is their respective values of R^2 b) Time-series regressions should be run using as many years of data as possible; more data means more reliable coefficient estimates c) Including additional variables (even if they lack individual significance) does no harm and might raise R d) Equations that perform well in explaining past data are likely to generate accurate...
Indicate whether the following statements are true or false and justify the answer. (I) If f...
Indicate whether the following statements are true or false and justify the answer. (I) If f and g are functions defined for all real numbers, and f is an even function, then f o g is also an even function. (II) If a function f, defined for all real numbers, satisfies the the equation f(0) = f(1), then f does not have an inverse function.
Which of the following statements is FALSE? Group of answer choices Older men tend to have...
Which of the following statements is FALSE? Group of answer choices Older men tend to have lower muscle density. Hence, the correlation between “age” and “muscle density” in older men must be negative. Older children tend to be taller than younger children. Hence, the correlation between “age” and “height” in children must be positive. A researcher finds the correlation between two variables is close to 0, so the two variables must be strongly related. Taller people tend to be heavier...
For the following scenario, identify whether a correlation coefficient can be accurately calculated and interpreted –...
For the following scenario, identify whether a correlation coefficient can be accurately calculated and interpreted – if there is an issue, indicate the most relevant reason why we should be cautious when interpreting the correlation coefficient. You can assume all measures are quantitative. Shawna is interested in seeing whether there is a relationship between a person’s openness to new experiences and their creativity. She collects a random sample from her community and records their scores on two questionnaires that measure...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT