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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.
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Hi I have an assignment due of business statics on spss software
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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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