Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
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.
Sequential Sampling: This is somewhat complex sample design where the ultimate size of the sample is not fixed in advance but is determined according to mathematical decisions on t
What is significance of Responsiblity accounting in divisional performance statement measurement?
What do you mean by Purchase Return? Give an example. Ans. Sometime the goods an organization orders are not up to the mark and they are not supposed to keep or accept so th
#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.
Given all the evidence that you have collected from all your surveys of 50 prospective customers, answer the question will full explanation. How many free premium channels should
'Statistics is the backbone of decision-making'. Comment.
The probability density function (pdf) of X is given by f(x) = (1-x/2 if 0 ≤ x (0 otherwise a. Verify that that f(x) is a legitim
Why do Jovian planets have rings? - Ring particles cannot have lasted for billions of years so the particles we see today must have been created recently. - New ring particles
regression line drawn as Y=c+1075x, when x was 2 and y was 239, given that y intercept was 11. calculate the residual
uses of time series with example
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd