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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.
1. A researcher was interested lowering the high school dropout level in his county. He measured the reading level of students entering middle school (based on a standard test) and
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Seven years ago, after 15 years in public accounting, Stanley Booker, CPA, resigned his posiition as Manager of Cost Systems for Davis, Cohen, and O''''Brien Public Accountants and
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discuss the steps in preparing product cost allocation.
In each of the following cases, compute 95 percent, 98 percent, and 99 percent confidence intervals for the population proportion p. p=.1, n=30, p = .1, n = 100, p = .5, n = 50, p
I have a regression analysis assignment using minicab, but I am not sue how to do with my current data set?
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