Question

In: Statistics and Probability

for the quantitative variables x and y are given in the table below. These data are...

for the quantitative variables

x

and

y

are given in the table below. These data are plotted in the scatter plot shown next to the table.

In the scatter plot, sketch an approximation of the least-squares regression line for the data.

x

y

7.4

6.6

4.0

5.0

2.0

3.9

3.1

5.0

9.4

8.4

4.7

5.9

6.6

6.2

8.5

6.9

7.9

7.3

1.6

3.7

4.4

4.6

2.8

3.9

2.7

3.1

5.7

6.3

5.9

7.3

9.7

8.3

6.9

6.3

8.8

8.4

x

1

2

3

4

5

6

7

8

9

10

11

y

1

2

3

4

5

6

7

8

9

10

11

Solutions

Expert Solution

(a) The step-by-step instructi ons to obtain Regression

output using Minitab 18:

* Store the variables (X) in the columns of

the Mnitab18 worksheet

* Choose Regression *Regression *Fittted Line Plot

* Select the variable (Y) in the Responses box and then select the

variable (X) in the Continuous Predictors box

* Cli Ck ok

The simple linear regressl on equation plotted on the scatter plot

using the technology:

The scatterplot enables that the measure of the linear relationship between the two quantitative variables x and y. The linear relationship between the two variables is positive, since the direction of fitted line is upwards. The value of the coefficient of determination is R2=24.9% indicates the percentage of variation in the dependent variable can be explained by the independent variable. The adjusted R2=20.2% is less than that of the R2 value observed in the fitted line plot.


Related Solutions

Given below is a bivariate distribution for the random variables x and y. f(x, y) x...
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...
The joint probability distribution of variables X and Y is shown in the table below. ...............................................................................X..........................................................................
The joint probability distribution of variables X and Y is shown in the table below. ...............................................................................X....................................................................... Y 1 2 3 1 0.30 0.18 0.12 2 0.15 0.09 0.06 3 0.05 0.03 0.02 Calculate E(XY) Determine the marginal probability distributions of X and Y.             Calculate E(X) and E(Y)             Calculate V(X) and V(Y)             Are X and Y independent? Explain.             Find P(Y = 2| X = 1) Calculate COV(X,Y). Did you expect this answer? Why? Find the probability distribution...
Data for the two variables X & Y is given below: (4,3); (6,5); (8,6); (11, 10);...
Data for the two variables X & Y is given below: (4,3); (6,5); (8,6); (11, 10); (13, 11); (15,13) Draw scatter plot of X-Y Find correlation coefficient Infer the relation between the two variables
Q1: A sample with two variables (x and y) is given in the table. According to...
Q1: A sample with two variables (x and y) is given in the table. According to the sample, please develop an excel spreadsheet to calculate the missing values given in the table of “summary output” attached below. The excel spreadsheet needs to be submitted together with your assignment. Note: use “data analysis toolpak” to check your answers, but calculations, equations and steps should be done for each "?" value x y 1.0 5.2 1.5 7.2 2.0 5.5 2.5 4.9 3.0...
The table below gives the joint distribution between random variables X and Y . y 0...
The table below gives the joint distribution between random variables X and Y . y 0 2 4 x 0 0.03 0.01 0.20 1 0.15 0.10 0.51 (a). [4pts] Find P(X = 0, Y = 2). 1 Problem 2(b). [6pts] Find E[X]. Problem 2(c). [6pts] Find Cov(X, Y ). Problem 2(d). [6pts] Find P(X = 1|Y = 2).
X and Y are discrete random variables with joint distribution given below Y 1 Y 0...
X and Y are discrete random variables with joint distribution given below Y 1 Y 0 Y 1 X 1 0 1/4 0 X 0 1/4 1/4 1/4 (a) Determine the conditional expectation E Y|X 1 . (b) Determine the conditional expectation E X|Y y for each value of y. (c) Determine the expected value of X using conditional expectation results form part (b) above. (d) Now obatin the marginal distribution of X and verify your answers to part (c).
Fourth Question: The table below represents a relationship between two variables X and Y x 7,8,4,3,9,5,7,1,2...
Fourth Question: The table below represents a relationship between two variables X and Y x 7,8,4,3,9,5,7,1,2 y 8,10,5,2,12,3,9,1,1 a) Calculate the Pearson correlation coefficient between the X and Y variables. B) Find the y regression equation for X for the cooked data c) Calculate the estimated value (prediction) of the variable Y when the value of the variable X is equal to 5. What is the error value of the estimate?
The two data sets in the table below are dependent random samples. The population of (x−y)(x-y)...
The two data sets in the table below are dependent random samples. The population of (x−y)(x-y) differences is approximately normally distributed. A claim is made that the mean difference (x−y)(x-y) is not equal to -23.5. x 60 62 46 45 37 45 46 46 y 79 77 75 86 83 71 76 77 For each part below, enter only a numeric value in the answer box. For example, do not type "z =" or "t =" before your answers. Round...
The two data sets in the table below are dependent random samples. The population of (x−y)(x-y)...
The two data sets in the table below are dependent random samples. The population of (x−y)(x-y) differences is approximately normally distributed. A claim is made that the mean difference (x−y)(x-y) is greater than 17.9. x 67 79 68 52 56 78 78 78 y 30 50 32 49 31 51 37 35 For each part below, enter only a numeric value in the answer box. For example, do not type "z =" or "t =" before your answers. Round each...
Consider the following data on x and y shown in the table below, x 2 4...
Consider the following data on x and y shown in the table below, x 2 4 7 10 12 15 18 20 21 25 y 5 10 12 22 25 27 39 50 47 65 Fit the model E(y)=β0+β1x to the data, and plot the residuals versus x for the model on Minitab. Do you detect any trends? If so, what does the pattern suggest about the model?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT