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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.
Distinguish between Cost unit and cost centre
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Characteristics of index number
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Y=C+1075x,when x was 2, and y was 239, given that y intercept was 11. calculate the residual.
frequency distribution
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Questions In a regression analysis, a nurse researcher found a correlation of .82 between pain relief scores and satisfaction with nursing care. She also calculated the follow
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