24-4-2V3 =6O Here are three vectors: vị=V2 =33-2 2) Consider three random variables. Each vector is a collection of the realized values for each randomvariable. Calculate the variance-covariance matrix for these three random variables first, and thencalculate the matrix determinant.[Hint: the sample variance of random variable X is S? = E,-x)²the sample covariance of X and Y isп-1Sxxп-13) What have you learned from part 2)? Explain the intuition.

Answered: Image /qna-images/answer/2bac4bd5-a19e-4cb6-aac9-cd600ee7cc72.jpg

Answered: 2) Consider three random variables.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Use correlation coefficients to determine which of the given sets of data is best fit by its associated regression line and which is fit worst. HINT [See Example 3.] (a) ((-1, 1), (0, 2), (3, 4)) (b) (c) ((-2,-3), (0, -1), (1, 2)) ((2,-5), (3, 3), (-2,-2)) Select the data set with the best fit. O ((-1, 1), (0, 2), (3, 4)) O ((-2, -3), (0, -1), (1, 2)) O ((2,-5), (3, 3), (-2,-2)) Select the data set with the worst fit. O ((-1, 1), (0, 2), (3, 4)) O ((-2, -3), (0, -1), (1, 2)) O ((2,-5), (3, 3), (-2,-2)) Is it a perfect fit for any of the data sets? Yes No
You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. A 45 28 28 B 47 21 22 What is the chi-square test-statistic for this data? Report all answers accurate to three decimal places.
Refer to the Baseball 2018 data given below, which report information on the 30 Major League Baseball teams for the 2018 season. Let the number of games won be the dependent variable and the following variables be independent variables: team batting average, team earned run average (ERA), number of home runs and whether the team plays in the American or National league (American League is 1 and National League is 0). a. Develop a correlation matrix. (i) Which independent variables have strong or weak correlations with the dependent variable. (ii) Do you see any problems with multicollinearity? Explain your answer. b. Use Excel to determine the multiple regression equation. (i) Write out the regression equation and determine its practical application (i.e., interpret the equation). (ii) Report and interpret the R-square. c. Conduct a global test on the set of independent variables. Interpret. d. Conduct a test of hypothesis on each of the independent variables. Would…
Could you please give the correct solutions for this homework
The equations of the regression line between two variables are expressed as 2x-3y=0 and 4y-5x-7=0 a) identify which of two can be called regression line of Y on X and X on Y b) find the correlation coefficient c) find mean value of X and mean value of Y
As a result of the research, it was concluded that there is no relationship between the two variables. What is the value of the correlation coefficient?A) 0,0B) 0,75C) 0,25D) 0,50
Help me answer the following, thank you.
1 Professor Yema conducted a research to determine factors that influence environmental attitude. Table 1 below is a matrix of Pearson’s r correlation coefficients for the following variables used in the study: Environmental attitude (En), level of education (Le), and income (In). Table 1: Factors that influence environmental attitude ____________________________________________________________________ Variable En Le In ____________________________________________________________________ Environmental attitude (En) 1.0 Level of education (Le) 0.6** 1.0 Income (In) –0.3* 0.9*** 1.0 ____________________________________________________________________ ***Correlation is…
Prob ... solve Q 1 & Q 2 please ?
2. Previously, you studied linear combinations of independent random variables. What happens if the variables are not independent? A lot of mathematics can be used to prove the following: Let x and y be random variables with means μx and μy, variances σ2x and σ2y, and population correlation coefficient ρ (the Greek letter rho). Let a and b be any constants and let w = ax + by for the following formula. μw = aμx + bμyσ2w = a2σ2x + b2σ2y + 2abσxσyρ In this formula, r is the population correlation coefficient, theoretically computed using the population of all (x, y) data pairs. The expression σxσyρ is called the covariance of x and y. If x and y are independent, then ρ = 0 and the formula for σ2w reduces to the appropriate formula for independent variables. In most real-world applications the population parameters are not known, so we use sample estimates with the understanding that our conclusions are also estimates.Do you have to be rich to invest in bonds and real estate? No, mutual…
An investigator has a data set which contains a response variable(y) and four explanatory variables(xı, x2, X3, X4). A correlation matrix was produced from the data set and is provided below. Correlations Y X1 X2 X3 X1 0.785 X2 0.731 0.690 X3 0.603 0.343 0.771 Х4 0.745 0.742 0.500 0.630 Does the correlation matrix provide evidence that multicollinearity may be an issue? Explain your reasoning.
Choose the best answer. Please show the computation and explain the answer. Which of the following statements is true? I) A and B are independent variables with means of 6 and 8, respectively. Therefore, E(3A - B + 3) = 13. II) A and B are independent variables with variances of 6 and 8, respectively. Therefore, Var(3A - B + 3) = 13. a. I only b. II only c. Both are correct d. Both are false

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS