Here' the answer to the question. Please don't hesitate to give a "thumbs up" in case you're satisfied with the answer
7.
One can see the perfect correlation and the almost y = x best fit
line through the points in
the scatter plot.
a.
Co variance is a measure of how changes in one variable are
associated with changes in a second variable. The reason stated
above makes draw a conclusion that variance of X and Y move
together,
so, Co variance value for X,y is 1. This is a convinient value, actual value will obviously be equal to 1.
b. Yes, they are dependent, we can see that clearly as the distribution of these points is very symmetric to y=x line, which means dependence. So, if X=10, and y=x, then y = 10. Expected value of Y is 10
X and Y are two random variables. A scatter diagram for a 15 differest samples of...
pr 1 X and Y are two random variables. A scatter diagram for a 15 different samples of both random variables is illustrated below a. Suggest a convenient value for the covariance of X, Y 2 pt 2 t. Is X, Y independent? Why? If they are dependent and you know that X-10, what you could expect about Y? GOOD LUCK
Consider the following data for two variables, x and y. a. Choose the correct scatter diagram with x and y. The correct scatter diagram is - _______ . Does there appear to be a linear relationship between x and y? Explain. The scatter diagram- Select your answer - some evidence of a possible linear relationship. b. Develop the estimated regression equation relating x and y. Save "predicted" and "residuals" (to 4 decimals). c. Choose the correct scatter diagram or the residuals versus y tor the estimated...
6 X and Y are two discrete random variables with the following PMF. IN IN IA. a. | Find the marginal pmf's for X and Y. b. Draw the joint CD c. Calculate the probability of the events: A-(X>0), B (xeY), and C-X Y for the 3 pt 3 pt. indicated PMF t. Are X, Y independent? Prove. 2 pt. t.
Find an example of two dependent binomial random variables X and Y with same probability of success p that when you add them X+Y the result is not a binomial random variable.
1. Consider a pair of random variables (X, Y) with joint PDF fx,y(x, y) 0, otherwise. (a) 1 pt - Find the marginal PDF of X and the marginal PDF of Y. (b) 0.5 pt - Are X and Y independent? Why? (e) 0.5 pt - Compute the mean of X and the mean of Y.
show work please 56. Five observations taken for two variables follow. x 6 11 15 21 27 y, 6 9 6 17 12 a. Develop a scatter diagram for these data. b. What does the scatter diagram indicate about a relationship between x and y? c. Compute and interpret the sample covariance. d. Compute and interpret the sample correlation coefficient
a) Let X and Y be two random variables with known joint PDF Ir(x, y). Define two new random variables through the transformations W=- Determine the joint pdf fz(, w) of the random variables Z and W in terms of the joint pdf ar (r,y) b) Assume that the random variables X and Y are jointly Gaussian, both are zero mean, both have the same variance ơ2 , and additionally are statistically independent. Use this information to obtain the joint...
Let X and Y be two dependent random variables. P[X,Y]= 0.2 and P[X] =0.4. Find P[Y|X].
and y Given are five observations for two variables, 7 20 17 13 29 13 48 52 58 a. Choose the correct scatter diagram for these data: B. 60- 60 50- 50 40 30- 30 20- 20 10- 10 40 60 x 50 30 60 v 20 10 4C 50 30 10 D C y y 60- 60 50- 50 40- 40 30- 30 60+ 60+ 50- 50- 40+ 40- 30+ 30- 20+ 20+ 10+ 10 10 20 30 40...
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 3 7 8 11 14 Which of the following scatter diagrams accurately represents the data? 1. 2. 3. SelectScatter diagram #1Scatter diagram #2Scatter diagram #3Item 1 What does the scatter diagram indicate about the relationship between the two variables? SelectThere appears to be a linear relationship between x and yThere appears to be a nonlinear relationship between x and yItem 2 Try to...