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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.
What is meant by interpolation and extrapolation. State the assumptions used for interpolation and extrapolation
). Calculate Karl Pearson’s coefficient of correlation from the following data , using 20 as the working mean for price and 70 as the working mean for demand: Price: 14 16 17 18 1
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A. Use the inequality derived for part C question 3; to obtain an inequality required x *CD = 1 to remain stable against DD invaders. Also draw the ROC diagram discussed in class
find the trend of the following table.
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