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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.
You have the following limited information upon which to base your decision as to which is the better of two alternative funding arrangements: Alternative 1 is to arrange fu
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Objective: Determine process capability The sandwich shop†TM s goal I that every sandwich can be completed in less than 1.5 minutes using the following 20 data times: 1.5364 1.58
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The correlation coefficient can take values from -1 to 1. If the correlation coefficient lies in the range (-1,0) then we say that the correlation is negative, on the other hand if
Northern Hi-Tec Electronics Limited manufactures six computer peripheral devices: internal modems , external modems , circuit boards , CD drives , hard disk drives , and memo
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Co-relation: Co-relation in this case studies the behavior how each of the investment opportunity would react to any event vis – a vis each other. The same is measured in terms of
Financial sales and building sensible financial help Conceptual structure can be identified as a structure. It is a structured design of connected goals and fundamental concept
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