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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.
comulativefrequencydistribution
Budgetary accounts Accounts used to go through the adopted budget into the all-purpose ledger as part of the administration control method of formal budgetary addition.
Midrange The midrange is the measure of the center that is the value midway between the highest and the lowest values in the original data set. It is found by adding the highes
STAT QUESTION
Maria runs a small business out of her home. She has expenses of $2,000 per year and uses the cash basis method of accounting. Her only employee is her cousin who works for her pa
Problem 1 . Let X 0 ;X 1 ;X 2 . . . be a Markov chain with state space f1; 2g and transition probabilities given as follows: p 11 = 0:3; p 12 = 0:7; p 21 = 0:5; p 22 = 0:5:
An employer provides taxable fringe benefits of $11,000 (GST inclusive) for his employees during the relevant period, all being for creditable purposes and input tax credits of
what is the average value of 1,2,3,4,5
histograms
Absorption distributions Probability distributions which represent the number of 'individuals' (such as particles) which fail to cross the speci?ed area containing the hazards o
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