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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.
In the financial statements, each product must include the costs of the given below: Direct labor Direct material Manufacturing or factory overhead The costs that would typically b
'Statistics is the backbone of decision-making'. Comment.
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following the hight of studen 155,153,168,160,162,166,167,180,257,165,
Description of Sample at Baseline 1. Describe the sample characteristics and baseline values, comparing the two groups'characteristics. With any analysis, the first step
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find the variance of least square estimator beta hat for general linear regression model
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Solving accounting assignments
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