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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.
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
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Write a sample Results section, discussing your data screening activity.
the monthly income( in tk''s)persons workingin afarmis as flows ,14870,14930,15020,14460,14750,14920,15720,15160,14680,14890 find average monthly income?
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For this assignment, you will have to review each column and make a decision for how to adjust for the missing data. After you correct for missing data in each column, please des
The Washington Corp stock has a β of 1.15 and it will pay a dividend of $2.50 next year. The expected rate of return of the market is 17% and the current riskless rate is 9%. The e
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