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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.
A. If CD players are able to use the LDD strategy better than pure chance then explain what happens to the signal reliability ration as a CD player detects more cautiously B. As
From the following cost, production and sales data of Decors Motor Ltd., prepare comparative income statement for three years under (i) absorption costing method, and (ii) marginal
I will submit a file that explains what is supposed to be done in order to complete the project. And, another file will be submitted that has the blanks in it. I need the work to b
1-100,101-200
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Calculate the quartile deviation??805,796,810,785,810,790,800 and 785
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Standard Deviation: The standard deviation is a gauge of the variance, or dispersion, of the market return over its average returns. Thus Standard Deviation gives an insight of tot
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