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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.
Maria runs a small business out of her home. She has expenses of $2,000 per year and uses the cash basis method of accounting. Her only employee is her cousin who works for her pa
Where an element of randomness is introduce by suing random numbers to pick up the unit with which to start this process of sampling is known as systematic sampling.
When are expenses credited? While common journal cost records are typically debited and have debit account balances, there are times when the cost records are acknowledged.
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