What is the danger in saying one variable causes another when the variables are linked through...

What is the danger in saying one variable causes another when the variables are linked through correlation considered? Were all 4 types of relationships possibly present when there is a correlation considered?

Solutions

Expert Solution

Answer:

Positive relationship:

Negative relationship:

Inverse relationship:

Source:

Research Methods Knowledge Base by Prof William M.K. Trochim

orchestra answered 1 year ago

Next > < Previous

Related Solutions

Say I have two variables x1 and x2 that are positively correlated with one another. What...

Say I have two variables x1 and x2 that are positively correlated with one another. What is the intuition behind why this correlation is positive while the covariance in the covariance matrix for beta hat is negative?

Refresher on Variables: Classifying variables as independent or dependent: The independent variable is the one being...

Refresher on Variables: Classifying variables as independent or dependent: The independent variable is the one being manipulated or grouped in the study for comparison. A tip to remember this is to think that independent starts with “I” and I, the researcher, manipulate that variable or have control over who is grouped in the study. The way we will be using independent variables in this course is in terms of between group analysis, so our focus will be on groups being...

What is the expected value of your dependent variable when both of your independent variables are...

What is the expected value of your dependent variable when both of your independent variables are equal to zero (using your "best" model)? Does this value make sense practically? Justify your responses.

Out of the variables provided below: 1) Select one dependent variable, one primary independent variable, and...

Out of the variables provided below: 1) Select one dependent variable, one primary independent variable, and one potential confounding variable that will be used for linear regression. 2) State a possible research question and hypotheses (null and alternative) for these variables Variables: Sex, Age, Education Level, Smoking Status, Employed, Minutes Exercised, Annual Income, Neighborhood

Linear regression is used to predict the value of one variable from another variable. Since it...

Linear regression is used to predict the value of one variable from another variable. Since it is based on correlation, it cannot provide causation. In addition, the strength of the relationship between the two variables affects the ability to predict one variable from the other variable; that is, the stronger the relationship between the two variables, the better the ability to do prediction. What is one instance where you think linear regression would be useful to you in your workplace...

correlation measures the degree to which two variables are related to one another. Here are the...

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....

Linear Regression Linear regression is used to predict the value of one variable from another variable....

Linear Regression Linear regression is used to predict the value of one variable from another variable. Since it is based on correlation, it cannot provide causation. In addition, the strength of the relationship between the two variables affects the ability to predict one variable from the other variable; that is, the stronger the relationship between the two variables, the better the ability to do prediction. What is one instance where you think linear regression would be useful to you in...

1. What happens if one solute can pass through the membrane, but another cannot? 2. How...

1. What happens if one solute can pass through the membrane, but another cannot? 2. How do semi-permeable membranes and the processes of diffusion and osmosis contribute to homeostasis in cells?

what advantages does a company achieve when it possesses significant influence owe another company through voting...

what advantages does a company achieve when it possesses significant influence owe another company through voting stock ownership?

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

Subjects