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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.
V ariance A measure of dispersion the variance represents the average distance from any given observation in a series to the mean of that series in the units squared.
9. From 11 positive integer scores on a 10-point quiz, the mean is 8, the median is 8, and the mode is 7. Find the maximum number of perfect scores possible on this test.
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Q. Explain Linear Regression model? Ans. Linear correlation measures the strength of a linear relationship, but not the exact numerical relationship. Linear regression, o
Write a report to an investor by comparing the financial statements for two different companies
calculate the probabilities correct to 6 decimal places. Let pie = 0.02. a. P(X less than 3,
1 . Below are the points scored by the winning team in Week 10 of NFL professional football games this Fall, 2011. 24 17 44 13 21 24 30 20 37 26 17 22 27 37 37 45 a) Use thes
A scientist claims that the mean incubation period for the eggs of a species of birds is more than 46 days.
Mention the characteristics of Statistics. Explain any two applications of Statistics.
Q. Example of Selection a Sample? Ans. Suppose a presidential election is approaching and many people are interested in knowing which candidate is most likely to win the v
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