0
Add your answer:
Earn +20 pts
What a correlation of 0.30 means that the independent variable explains -- percent of the variance in the dependent variable?
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).
How much variance has been explained by a correlation of .9?
81%
How much variance has been explained by a Pearson correlation of 0.9?
81
What does the term correlation analysis mean?
Correlation analysis is the relationship of two values. When two items are similar, they will have a high correlation. Should they differ, they will be much lower in variables.
If all normal distributions have the same shape how are they different?
The differ in their mean and variance. The mean determines how far left or right they are along the variable axis (the x axis). The variance determines how narrow or wide the so-called bell shape is.
What is variance for a negative correlation?
on9 la lei
What a correlation of 0.30 means that the independent variable explains -- percent of the variance in the dependent variable?
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).
How much variance has been explained by a correlation of .9?
81%
How much variance has been explained by a Pearson correlation of 0.9?
81
What does the term correlation analysis mean?
Correlation analysis is the relationship of two values. When two items are similar, they will have a high correlation. Should they differ, they will be much lower in variables.
How to compute residual variance of RIL and Sensex?
Variance is variability and diversity of security from average mean and expected value Variance = standard deviation fo security * co relation (r) devided by standanrd deviation of sensex
What are the effects of co relation on linear transformation?
Correlation has no effect on linear transformations.
If all normal distributions have the same shape how are they different?
The differ in their mean and variance. The mean determines how far left or right they are along the variable axis (the x axis). The variance determines how narrow or wide the so-called bell shape is.
Which correlation co-efficient best explains the relationship between creativity and intelligence?
0.5
Which correlation co efficient best explains the relationship between creativity and intelligence?
1.0
How change of origin or scale effect value of co-efficient of co-relation?
The correlation coefficient is unaffected by change of origin or scale unless one of the sets of variables is multiplied by a negative term, in which case the correlation coefficient will become negative.
If we conduct a statistical analysis and find and the correlation (or an association) between the lengths of time spent studying higher grades in different courses can we co?
You can concluded that the correlation is positive.
