--%>

Correlation

Define the term Correlation and describe Correlation formula in brief.

E

Expert

Verified

  • Correlation means and interrelationship or correspondence  between two variables.
  • Electricity bill and weather
  • Height and weight
  • Distance and Time
  • Demand for the product and Price

Correlation formula:

358_corelation.jpg

  • The main result of a correlation is called the correlation coefficient (or "r").
  • This ranges from -1.0 to +1.0.
  • The closer r is to +1 or -1, the more closely the two variables are related.
  • If r is close to zero (0), it means there is no relationship between the variables.
  • If r is positive, it means that as one variable gets larger the other gets larger.
  • If r is negative this means that as one gets larger, the other gets smaller (often called an "inverse" correlation).

   Related Questions in Advanced Statistics

  • Q : Problem on Chebyshevs theorem 1. Prove

    1. Prove that the law of iterated expectations for continuous random variables.2. Prove that the bounds in Chebyshev's theorem cannot be improved upon. I.e., provide a distribution which satisfies the bounds exactly for k ≥1, show that it satisfies the

  • Q : Problem on Poisson distribution The

    The number of trucks coming to a certain warehouse each day follows the Poisson distribution with λ= 8. The warehouse can handle a maximum of 12 trucks a day. What is the probability that on a given day one or more trucks have to be sent away? Round the answer

  • Q : Frequency Distributions Define the term

    Define the term Frequency Distributions?

  • Q : True and False Statement Discuss the

    Discuss the following statements and explain why they are true or false: a)      Increasing the number of predictor variables will never decrease the R2 b)      Multicollinearity affects the int

  • Q : Use the law of iterated expectation to

    Suppose we have a stick of length L. We break it once at some point X _

    Q : Discrete and continuous data

    Distinguish between discrete and continuous data in brief.

  • Q : Pearsons correlation coefficient The

    The table below illustrates the relationship between two variable X and Y. A

  • Q : Error probability As of last year, only

    As of last year, only 20% of the employees in an organization used public transportation to commute to and from work. To determine if a recent campaign encouraging the use of public transportation has been effective, a random sample of 25 employees is to be interviewe

  • Q : Probability problem A) What is the

    A) What is the probability of getting the following sequence with a fair die (as in dice):B) What is the probability of getting the same sequence with a die that is biased in the following way: p(1)=p(2)=p(3)=p(4)=15%;

  • Q : Probability Distributions and Data

    1. A popular resort hotel has 300 rooms and is usually fully booked. About 4% of the time a reservation is canceled before 6:00 p.m. deadline with no penalty. What is the probability that at least 280 rooms will be occupied? Use binomial distribution to find the exact value and the normal approxi