The independent variable explains .32*100 percent of the variance in the dependent variable.
This is 9%.
The explainable variance is always the square of the correlation (r).
yes
In statistics, the standard of comparison is the r2 which is a percentage that explains what percentage of the dependent variable can be accounted for by the independent variable.
If all variations in the dependent variable can be fully explained by the independent variables - so that there is no residual "error" - the correlation is said to be perfect.
and independent variable is bigger than a dependent variable
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.
dependent variable improves (or increases) as independent variable increases
yes
The dependent variable has an inverse linear relationship with the dependent variable. When the dependent increases, the independent decreases, and conversely.
The mediator variable explains the relationship between the independent variable and the dependent variable.
The mediator variable explains the relationship between the independent variable and the dependent variable.
In statistics, the standard of comparison is the r2 which is a percentage that explains what percentage of the dependent variable can be accounted for by the independent variable.
It means that the two variables are likely dependent. The higher the number of the positive correlation the stronger the connection.
If all variations in the dependent variable can be fully explained by the independent variables - so that there is no residual "error" - the correlation is said to be perfect.
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.
The independent variable is the variable that is altered by the scientist, and the dependent variable's value is dependent on the value of the independent variable.
and independent variable is bigger than a dependent variable
The dependent variable is dependent on the independent variable, so when the independent variable changes, so does the dependent variable.