0
Yes, a correlation can exist between two variables, regardless of their nature as dependent or independent. The correlation coefficient quantifies the degree of relationship between variables, indicating how changes in one variable are associated with changes in the other. However, correlation does not imply causation.
What else can I help you with?
What are the three different types of correlation?
The three different types of correlation are positive correlation (both variables move in the same direction), negative correlation (variables move in opposite directions), and no correlation (variables show no relationship).
What is the significance of correlation time in the context of statistical analysis?
In statistical analysis, correlation time is important because it measures how long it takes for two variables to become independent of each other. It helps determine the strength and stability of relationships between variables over time.
When an experiment shows that two variable are closely related that experiment shows?
that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.
When an experiment shows that two variables are closely related the experiment shows blank?
correlation.
When an experiment showes that two variable are closely related the experiment shows?
correlation
What is correlation analysis?
We consider correlation as a several independent variables.
Variables that do not change in a experiment?
the dependant variable
What are the three variables in a scientific experiment?
There are 2 variables and they are independent and dependant.
What are the two variables that are kept constant?
dependant and independent
What is multiple correlation coefficient and partial correlation coefficient?
partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.
Independent and dependentare types of these?
Independent and dependant are types of variables in an experiment. The independent variable is what is being manipulated within the experiment and the dependant variable is the result of that change.
What roles do independent and dependant variables play in a controlled experiment?
Ball sack
What does the independent variable affect when it is changed?
The independent variable sometimes changes the dependant variable, because it is dependant on the other variable. Sometimes the independent variable doesn't change the dependant variable, in which case there is no causation between the two variables.
Can A correlation matrix can be used to assess multicollinearity between independent variables?
yes
Can you change an independent variable?
Yes, independant variables are the variables that are changed in an experiment to observe the results, called the dependant variable.
What are the advantages of regression over correlation?
Correlation is a measure of association between two variables and the variables are not designated as dependent or independent. Simple regression is used to examine the relationship between one dependent and one independent variable. It goes beyond correlation by adding prediction capabilities.
What does independent mean in science?
Scientifically, independent refers to the direct opposite of dependant. The dependant variable is varied deliberately and systematically by the experimenter, and the summary of the independent variables form the results of the experiment. Example: Experiment to determine tensile strength of lumber. Method: Add 10kg weights to sample lumber and observe results (dependant variable is number of 10 kg weights) Results: 1...2...3...4...5...6CRASH 'CRASH' = Independent variable, proving tensile strength > 60kg (dependant variable)
