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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.
waterways continuing prob
The game of "Bunco" is played with three standard dice. "Bunco" occurs when all three dice show the same number of spots. What is the probability of tossing a "Bunco" on the first
is about deductions
The company acquired 50000 8% preferencd shares (with a par value of R4 each) in cross limited on 30 june 2006 for R180000.transaction costs at the acquisition date amounted to R12
Atomistic fallacy The fallacy which arises because of the association amongst the two variables at the individual level might differ from the association between the similar two
What is the probability 0.10 called?
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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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