ZuoTi.Pro
Question

If each individual variance of two variables is known and the variance of their sum is...

If each individual variance of two variables is known and the variance of their sum is also known, it is easy to calculate the covariance between the two variables.

True
False
business   economics   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

True

Var(aX + bY) = a2Var(X) + b2var(Y) + 2ab[cov(X,Y)]
So, we can find cov(X, Y) by substituting all the other values of variance if given.

0 0
Add a comment
Know the answer?
Add Answer to:
If each individual variance of two variables is known and the variance of their sum is...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs...

    Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. True or False Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. True or False One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for the correlations among...

  • Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs...

    Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. True or False Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. True or False One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for the correlations among...

  • 1. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more...

    1. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. True or False 2. Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. True or False 3. One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for...

  • Covariance and correlation between two variables are reported in the same units. True False

    Covariance and correlation between two variables are reported in the same units. True False

  • Which of these is not related to the model sum of squares? a. The variance explained...

    Which of these is not related to the model sum of squares? a. The variance explained by the first predictor/independent variable b. The variance explained by the second predictor/independent variable c. The variance explained by the main effect of the two predictors/independent variables on each other d. The variance explained by the interaction of the two predictors/independent variables on each other

  • (4pt) The variance of random variable X is 4 and the variance of random variable Y...

    (4pt) The variance of random variable X is 4 and the variance of random variable Y is 16. The correlation coefficient between the two random variables X and Y is 0.9. (a) (1pt) Find the covariance between X and Y. (b) A new random variable Z is given by Z = 5x + 1. Find the covariance between X and Z. (1pt) Find the covariance between Y and Z. (2pt)

  • 2) Two statistically-independent random variables, (X,Y), each have marginal probability density,...

    2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector, 2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,

  • 1) The sum of the variable overhead spending variance, the variable overhead efficiency variance, and the...

    1) The sum of the variable overhead spending variance, the variable overhead efficiency variance, and the fixed overhead spending variance is the: Select one: a. Production variance. b. Quantity variance. c. Volume variance. d. Price variance. e. Controllable variance. 2) Capital budgeting decisions are risky because: Select one: a. The outcome is uncertain. b. Large amounts of money are usually involved. c. The investment involves a long-term commitment. d. The decision could be difficult or impossible to reverse. e. All...

  • 4. [-14 Points] DETAILS (4pt) The variance of random variable X is 1 and the variance...

    4. [-14 Points] DETAILS (4pt) The variance of random variable X is 1 and the variance of random variable Y is 4. The correlation coefficient between the two random variables X and Y is 0.2. (a) (1pt) Find the covariance between X and Y. (b) A new random variable Z is given by Z = 2X + 1. Find the covariance between X and Z. (1pt) Find the covariance between Y and Z. (2pt)

  • Given below is a bivariate distribution for the random variables x and y. f(x, y) x y 0.3...

    Given below is a bivariate distribution for the random variables x and y. f(x, y) x y 0.3 50 80 0.2 30 50 0.5 40 60 (a) Compute the expected value and the variance for x and y. E(x) = E(y) = Var(x) = Var(y) = (b) Develop a probability distribution for x + y. x + y f(x + y) 130 80 100 (c) Using the result of part (b), compute E(x + y) and Var(x + y). E(x...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT