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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.
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The following data shows marks obtained by 40 students in a Statistics test. 75 99 72 54 25 40 65 32 69 10 85 48 52 80 63 64 35 62 51 71 67 57 95 74 56 69 61 49 45 63 39
WHAT IS THE RELATIONSHIP BETWEEN REGRESSION COEFFICIENT BYX BXY AND CORRELATION COEFFICIENT R?
difference between histogram and historigram
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