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Q. Explain Correlation Coefficient?
Ans.
The strength of a linear correlation is determined by how precisely the y variable shifts as the x variable increases. The two pictures on the right show data with a higher correlation than those on the left.
Data is said to have a perfect correlation if all points lie exactly along a line.
The correlation coefficient, r, is a measure of the strength of the correlation. It is a number between 1 and +1. +1 indicates a perfect positive correlation and 1 indicated a perfect negative correlation. If r is positive, then there is a positive correlation between the two variables. If r is negative, there is a negative correlation between the variables.
For this second assignment you will have to use the OECD database to investigate possible changes in the policy preferences of Western welfare states. You have to develop (i) an in
Course of Study MBA 10% B.Tech 90% BBA 0% Diploma 0% Annual College Fee 25,000-30,000 0% 40,000-50,000 10% 85,000-90,000 90% 90,000 Above 0% Taken an Education Loan Yes 100
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