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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.
discuss the nature and causes of the components of an economic time series?
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things to be investigate in mode
It is a numerical average, as equal to the sum of terms in a given series divided by the number of terms in that series is the mean which is also called the expected value.
Mode Mode, M is the value that has the largest number of occurrence or frequency in a data set, for instance, given the following data: 11 15 16 12 15 19 17 15 we can se
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We have two applicants who are applying for a job. They both took the high school exit exam, but different ones. Shannon took the ACT and scored 26, Frank took the SAT scored 1350.
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