A random process X (t) having Auto correlation function Ryy (T) = P. e aldwhere P and a are real positive constants, is applied to the input of a system withimpulse response.h(t) = K. e- Kt for t>0= 0for t<0%3Dwhere K is a real positive constant. Find the Auto correlation function of thenetwork's response Y (t)?

Answered: Image /qna-images/answer/4d111d20-0d1e-4f34-a593-cd3df960df40.jpg

Answered: where K is a real positive constant.…

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

Yaster Outhters manutactures and sells extreme-cold sleeping bags The table below shows the price-demand and total cost data where Revenue Model pis the wholesale price in dollan) of a sleeping bag for a weekly demand of z sleeping bags Using the regression model computed above, find a model for the weekly revenue, using a as th independent variable. .Cis the total cost (in dollan of producing z sleeping bags. leeping bag C IS) NOTE: Do not calculate another regression. Use the price equation to find a model for revenue R(2) -p.r 240 13.000 120 235 14.300 Find a quadratic regression equation for the price-demand data, using a as the independent variable. 180 155 18.500 P-a+ bz + cz R(2) - p.r- (a + bz + cz)a a + be + c 220 50 21.000 Round a to the nearest integer, round b to 2 decimal places, and round e to 4 decimal places. Profit Model Cost Model Use the models computed to find a model for the weekly profit, using z as the independent variable. Find a linear regression model for the…
Which of the following would be the value of the correlation coefficient of two variables which are not linearly related? a) –1 b) 0.5 c) 1 d) 0
Answer d, e, f and g
In discriminant analysis the discriminant function is on the basis of: a. Correlation co-efficient b. F statistic c. Linear Regression d. Eigen values
(b) For each pair of variables, generate the correlation coefficient r. Compute the corresponding coefficient of determination r2. (Use 3 decimal places.) r r2 x1, x2 x1, x3 x2, x3
Answer all the questions (a) Run a regression of Quiz results on EQR. Formulate a hypothesis test to determine if EQR is a significant factor in determining quiz results.(b) Interpret the above regression(c) Run a regression of Quiz results on EQR, study hours, age and sex. Is this a better or worse model. Explain(d) Are all variables significant determinants? Explain(e) Interpret the regression from part c(f) Run a regression of Quiz results on all the listed variables. Are they all statistically significant?Determine the best model to help predict quiz results. Quiz Results EQR Study Hrs Age Sex BBT MB MC AuHS LM 15 10 3 19 0 0 1 1 0 1 14 15 4 24 0 0 1 0 0 1 9 15 1 20 0 10 1 0 0 1 6 10 3 21 0 0 1 1 0 1 14 15 4 21 0 9 1 0 0 1 12 10 6 21 0 2 0 1 0 1 12 13 2 21 1 8 1 0 0 0 15 15 0 20 0 8 1 0 0 1 12 15 3 20 0 10 1 0 0 1 13 15 0.2 19 0 8 1 0 0 1 15 15 2 20 0 6 1 0 1 1 12 14 5 20 0 5 1 1 1 1 14 15 7 22 0 8 0 0 0 0 7 7 10 21 1 7 0 0 1 0 11 15 5 24 0 0 1 0 0…
Consider an economy where each worker is employed in either agriculture or services. Assume that log earnings of a worker are wo = 4o + €o if she is employed in agriculture and wi = µ1+€1 if she is employed in services, where µo and H1 are constants, ɛo ~ N(0, o3), and e1 - N(0, o?). Assume also that the correlation between earnings in the two sectors is p = g01 where oo1 = Cov(Eo, E1). Workers can be employed in agriculture at no cost, but they incur a cost C = T exp(wo) if they choose to work in services. Finally, assume that workers maximize their net earnings. Each worker knows all the parameters relevant to her decision. (a) Derive a linear approximation of the equation that determines whether an individual chooses services or agriculture. Assume that C is small compared to exp(wo), so you can ignore the error involved in this approximation. (b) Define v = €1 chosen worker is employed in services as a function of z, where z = (Ho – H1 +7)/0,. (c) How does this probability change…
In a simple linear regression analysis (where y is a dependent and x an independent variable), if the y-intercept is positive, then a) there is a positive correlation between x and y. b) if y is increased, x must also increase. c) if x is increased, y must also increase. d) the estimated regression line intercepts the positive y-axis.
The table below shows the number of absences, x, in a Calculus course and the final exam grade, y, for 7 students. Find the correlation coefficient and interpret your result. x 1 0 2 6 4 3 3 y 95 90 90 55 70 80 85 Find the least square regression line y = a x + b. Estimate the value of y when x = 10.
Plzz give the answer of all questions
A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized: y = B, + B,x + E where y = traffic flow in vehicles per hour x = vehicle speed in miles per hour. The following data were collected during rush hour for six highways leading out of the city. Traffic Flow (y) Vehicle Speed (x) 1,257 35 1,329 40 1,227 30 1,335 45 1,351 50 1,123 25 In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation. ý = bo + b,x + b,x? (a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x2. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.)

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

where K is a real positive constant. Find the Auto correlation function of the network's response Y (t)?