Welcome to Live Chat
Welcome to LiveWebTutors Services, World's leading Academic solutions provider with Millions of Happy Students.
In A Hurry? Get A Callback
Covariance:
Covariance calculates that how much two random variables change together. If small value of one variable corresponds with smaller value of other variable and the same thing for greater values, it means covariance is positive. On the other hand, when smaller value of one variable corresponds with greater value of other variable and vice versa, then in such case covariance is negative. These mathematical signs show the linear relationship between these variables. The magnitude of covariance is not simple to interpret. Magnitude of strength of the linear correlation determines the covariance coefficient.
A more general identity for covariance matrices: Let A be a random vector with covariance matrix sigma(A).Let X be a matrix that can act on The covariance matrix of vector XA is:
Sigma (XA) = X sigma (A) X^T.
It is a direct result of linearity of expectation and it is useful when applying linear transformation to vector.
Uncorrelatedness and Independence: IfA and B are independent, then their covariance is zero.
E(AB) = E(A)*E(B).
Correlation:
Correlation means relationship between two 2 or more variables.
Correlation analysis deals with association of two or more variables-Simpson&Kafka
Steps:
For ex:
Significance of Correlation:
Types of Correlation
1. Positive and Negative: Correlation is said to be positive when both the variables moves in the same direction. For ex.supply and price, age of husband and wife.
Correlation is said to be negative when both variables moves in the opposite direction. For ex. demand and price, expenses and income.
2. Linear and Non-Linear: When the rate of change in both the variables is same, then it is said to be linear correlation. When the rate of change between both the variables is different, then it is said to be non-linear correlation.
3. Simple, Partial &Multiple: When we studies correlation between only two variables, not more than two is called simple correlation.
When we studies 3 or more variables, then it is called multiple correlation.When we studies 3 or more variable, but consider only two at a time, then it is called partial correlation.
There is no deadline that can stop our writers from delivering quality assignments to the students.
Get authentic and unique assignments by using our 100% plagiarism-free services.
The experienced team of Live web tutors has got your back at all times of the day. Get connected with our customer support executives to receive instant and live solutions for your assignment problems.
We can build quality assignments in the subjects you're passionate about. Be it Engineering and Literature or Law and Marketing we have an expert writer for all.
Get premium service at a pocket-friendly rate. At live web tutors, we understand the tight budget of students and thus offer our services at highly affordable prices.
I was ordering an assignment for the first time from this website so I was a little hesitant but overall I had an amazing experience. The solution was delivered to me prior to the set date. They also kept their promise of following all the instructions carefully. I got enough time to review the content shared with me before submitting it to my professor. Although I am yet to be graded for the paper, it looked flawless. Thank you for your help.
16 Jan 2021
Nalani
Relying on the professionals is extremely easy as they offer you a varied guaranteed result.
16 Jan 2021
Maylee
A highly qualified team onboard! A great job is done by the writers and editors! Thank you, team!
16 Jan 2021
Shayla
What a brilliant execution of the assignment! The final output indeed left me speechless.
16 Jan 2021
Briley
I hired the web development assignment help service of this platform. I have also got other assignments done by them in the past and they had not disappointed me, therefore, I decided to reach out to them again. Their experts are simply the best. The document delivered to me was no less than perfect. I definitely owe the credit of my exceptional assessment grades to them. Thank you for your help.
16 Jan 2021
Elin