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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.
What is Degrees of Freedom : While comparing the calculated value of X2 with the table value we have to determine the degrees of freedom. By degrees of freedom we mean the number
Unfortunately the 10 questions are timed and when I send them to you, I MUST have back in 3-1/2 to 4 hours. Can you help?
Method of least squares
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X 420 610 625 500 400 550 650 480 565 Y 2.80 3.60 3.75 3.00 2.50 2.70 3.50 3.90 2.0 2.95 3.30 Calculate te covarience anf the correlatio coeficient. Comment on the relationship be
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