. Differentiate between correlation vs. causation. When two variables are correlated (such as strengthand running speed), they are associated with one another. Explain how, even if there is a correlationbetween the two, one might not cause the other. Provide an example of an association betweenvariables where a causal relationship makes sense conceptually. Why can't correlations be used as atool to prove a causal relationship between variables rather than just an association?

Solution:- Correlation and causation are two concepts that are often used interchangeably but…

Answered: Differentiate between correlation vs.…

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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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.
In general, a zero correlation means as the values of one variable increase, there is a tendency for the values of the other variable also to increase. as the values of one variable increase, there is a tendency for the values of the other variableto decrease. as the values of one variable increase, there is no tendency for the values of the other variable to change in any consistent, predictable fashion. as the values of one variable decrease, there is a tendency for the values of the other variable also to decrease.
You are a data analyst for the MLB and your boss asks you to analyze data related to stadium attendance and winning percentage. You obtain data on 30 MLB teams (see the data file for this project; this data is from the early 2000’s, so the teams might not reflect the current state). The file includes the cost of the team name, league, year the park was built, stadium capacity, average attendance, and winning percentage. You decide to calculate the correlation coefficient to see if the winning percentage and average attendance are related, and then the least squares regression line, in order to predict the winning percentage of a team whose average attendance is 65000. What to do: Prepare your summary of results, and make sure you include (1) the correlation and (2) an equation for predicting the winning percentage based on average attendance. What is (3) the expected winning percentage of a team whose average attendance is 65000? Does this seem reasonable?
Help please!
Carl is conducting a research study and finds a significant positive correlation between a state's per capita consumption of mozzarella cheese and the number of doctoral degrees in civil engineering that are awarded (real example!). However, this association is actually caused by a third variable that Carl did not measure. This variable is known as a: Group of answer choices distractor variable confounding variable independent variable lactose intolerant variable
The data provides information on life expectancy and the number of televisions per thousand people in a sample of 22 countries, as reported by the world almanac and book of facts 2006 A. Describe the Direction and strength of the correlation between the two variables B. Because of the association between the variables, someone might mistakenly conclude that simply sending televisions to the countries with the lower life expectancies would cause their inhabitants to live longer. Comment on this argument and the reason televisions are likely associated with longer life expectancies C. In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explain
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Over the course of a year, you find a strong, positive correlation between ice cream sales and pool drownings in a medium-sized city. The mayor decides that to prevent drownings, ice cream will be banned within the city limits. However, you show the mayor that after controlling for the high temperature of each day, the correlation between ice cream sales and number of drownings drops to zero, because that relationship was actually: Group of answer choices direct. interactive. mediating. spurious.
What does a correlation coefficient of 2 indicate? There is a weak relationship between the two quantitative variables. It indicates a calculation error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.
True or false .If there is no linear correlation between enrollment and the number of burglaries , then those two variables are not related in anyway. Explain why ?
Omitting a variable from our model that has a causal effect on our dependent variable always leads to omitted variable bias. a. False b. True
A student noticed that when she gets less than 8 hours of sleep at night, she scores lower on her test grades. Can one conclude that this positive correlation shows a causal relationship? OYes, because it is well known that less sleep lowers test scores OYes, because it is not a negative correlation O No, because all students get less than 8 hours of sleep at night No, because it is possible that the student gets lower test grades because of another factor, such as not studying

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