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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.
Suppose that permanent income, YP (t) is calculated as the average of disposable income (YD t ) over the past 5 years, that is: YP (t) = 0.2(YD t + YD t-1 + YD t-2 + YD t-3
In marketing research field surveys are commonly used to collect primary data from the respondents. 1. Through Personal Interviews: The investigator follows a rigid proced
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A. Complete the correlation matrix table. B. Which variable (s) has the highest correlation coeffieient which is not a perfect correlation? C. Which variable (s) has the lowest cor
when does the mode is said to be ill defined?
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importance of time series analysis?
#This is a chance to perhaps incorporate some of your experience, interests, and career business/management goals and ambitions within the context of an individual project paper.
The following are actual data showing the latitude of a sample of major cities in the northern hemisphere and their mean high annual temperature. latitude(X)
A contra-asset assessment consideration used to history the buildup of regular credit created to indicate the conclusion of the approximated useful life of investment resources.
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