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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.
List down various measures of central tendency and explain the difference between them?
(39.75-(39)/2/(sqrt+25))
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Q1 Choose the option that is closest to the exact value of the probability P (30 ≤ X Q2 Choose the option that is closest to the approximate value of the probability P
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