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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.
For an alignment shown below derive log-odds score for the column 1 only by a) Computing observed probability values b) Expected probability values TAGCTT AAGCTC T
Find Karl Pearson's correlation coefficient between the sales and expenses from the data given below:
1. Mention the characteristics of Statistics. Explain any two applications of Statistics.
A source of electrical power. A device or system which delivers electrical and or other types of energy to a corresponding device or system. Are commonly referred to as PSU (Power
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Q. How to Choose a Sample? The way a sample is chosen is extremely important in all statistical studies. This is because, ultimately, all the inferences will be based on the s
Definition and examples of asset and liabilities
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