Question

Suppose at your university you are asked to find the relationship between weekly hours spent studying...

  1. Suppose at your university you are asked to find the relationship between weekly hours spent studying (study) and weekly hours spent working (work). Does it make sense to characterize the problem as inferring whether study “causes” work or work “causes” study? Explain.

Homework Answers

Answer #1

The problem of finding the relationship between weekly hours spent studying (study) and weekly hours spent working (work) cannot be characterized the problem as inferring whether study “causes” work or work “causes” study due to the following reason:

Correlation does not imply causation. Just because we find strong relationship between weekly hours spent studying (study) and weekly hours spent working (work) , we cannot conclude that study “causes” work or work “causes” study.We cannot deduce a cause - and - effect effect relationship between two variables solely on the basis of an observed association between them.Correlation tells us how strongly the pair of variables are linearly related and change together. It does not tell us why and how behind the relationship. Causation says any change in the value of one variable will cause a change in the other variable.

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
Suppose you work at a well-known economics consulting firm and your manager has asked you to...
Suppose you work at a well-known economics consulting firm and your manager has asked you to find the relationship between weekly hours spent at the gym by a group of students and observed weekly loss in their weight. Your manager insists on characterizing this research as inferring whether more time in the gym “causes” more weight loss. Do you agree with your manager’s research specification and the use of the term “causes”? Justify your stand.
A survey among freshmen at a certain university revealed that the number of hours spent studying...
A survey among freshmen at a certain university revealed that the number of hours spent studying the week before final exams was normally distributed with mean 25 and standard deviation 15. A sample of 36 students was selected. What is the probability that the average time spent studying for the sample was between 29.2 and 30 hours studying? Write only a number as your answerRound to 4 decimal places (for example 0.0048 ). Do not write as a percentage .
A survey among freshmen at a certain university revealed that the number of hours spent studying...
A survey among freshmen at a certain university revealed that the number of hours spent studying the week before final exams was normally distributed with mean 40 and standard deviation 7 . Find percentile corresponding to p = 62 % of the number of hours studying. Write only a number as your answer. Round to two decimal places (for example: 20.81).
Suppose you are interested in estimating the effect of hours per week spent studying (study) on...
Suppose you are interested in estimating the effect of hours per week spent studying (study) on university grade point average (gpa) for first-year students; the model is ??? = ?0 + ?1????? + ?. One of the factors contained in u in the regression above is the student's major concentration. How is the omitted factor you chose likely to be correlated with ?????? How is the omitted factor you chose likely to be correlated with ???? Using these two correlations,...
We study the relation between students' GPA and the number of hours per week spent studying....
We study the relation between students' GPA and the number of hours per week spent studying. To this end, we consider the following regression model, GPA = β 0 + β 1 hours+u where GPA is the variable measuring students' GPA, hours is the variable measuring the number of hours studying, and u is the error term. We found the following OLS estimates: β ^ 0 = 2.67 β ^ 1 = 0.601 What is the predicted GPA of a...
You are given the following bivariate data about hours spent studying versus test grade in percent....
You are given the following bivariate data about hours spent studying versus test grade in percent. Below is the data collected from 5 different students. Studytime(hr) | test Grade(%) 2.0 72.4 2.5 77.0 3.5 86.0 4.0 94.8 5.5 97.1 Let x be the hour spent studying and y be the test grade in percent. Using the data above, we have the following: n = 5, x ̄ = 3.5, y ̄ = 85.46, sx = 1.369306, sy = 10.78369, r...
The administration at a university is interested in studying if any relationship exists between satisfaction at...
The administration at a university is interested in studying if any relationship exists between satisfaction at the school and whether the student is a freshman or a senior. The school randomly surveys 10 freshmen and 10 seniors and asks them to rate how satisfied they are at the school on a scale of 1-10, where 10 is extremely satisfied and 1 is extremely dissatisfied. If freshmen had a mean score of 6.7 and a standard deviation of 1.62, and seniors...
How much do you study? A survey among freshmen at a certain university revealed that the...
How much do you study? A survey among freshmen at a certain university revealed that the number of hours spent studying the week before final exams was normally distributed with mean 25 and standard deviation 5 . Use the Cumulative Normal Distribution Table to answer the following. (a) Find the 96th percentile of the number of hours studying. (b) Find the 31st percentile of the number of hours studying. (c) Between what two values are the middle 88% of the...
You are a student in ECON 110, and your test is 24 hours from now. You...
You are a student in ECON 110, and your test is 24 hours from now. You can spend this time either studying or sleeping. Suppose you know that the impact of studying and sleeping on the test score is ?(?, ?) = 8?0.5 + ?, where ? is the number of hours you spend studying (“working”) and ? is the number of hours you spend sleeping (“resting”). Assume your goal is to maximize your score on the test. a) How...
You are studying the relationship between the verbal ability of children and the number of working...
You are studying the relationship between the verbal ability of children and the number of working hours for their parents. You collected data from two different cities A and B (N = 100, for each city). You found that the slopes (when predicting children’s verbal ability from the number of parents’ working hours) for cities A and B were .61 and .89, respectively. However, the correlation coefficients were exactly the same (r = .32). Do you think that it is...