2.70 Data generated by software. The following 20 observations on y and x were generated by a computer program. In GENDATA y y 34.38 22.06 27.07 17.75 30.38 19.88 31.17 19.96 26.13 18.83 27.74 17.87 31.85 22.09 30.01 20.20 26.77 17.19 29.61 20.65 29.00 20.72 31.78 20.32 28.92 18.10 32.93 21.37 26.30 18.01 30.29 17.31 29.49 18.69 28.57 23.50 31.36 18.05 29.80 22.02 (a) Make a scatterplot and describe the relationship between y and x. (b) Find the equation of the least-squares regression line and add the line to your plot. (c) Plot the residuals versus x. (d) What percent of the variability in y is explained by x? (e) Summarize your analysis of these data in a short paragraph.

2.70 Data generated by software. The following 20 observations on y and x were generated by a computer program. In GENDATA y y 34.38 22.06 27.07 17.75 30.38 19.88 31.17 19.96 26.13 18.83 27.74 17.87 31.85 22.09 30.01 20.20 26.77 17.19 29.61 20.65 29.00 20.72 31.78 20.32 28.92 18.10 32.93 21.37 26.30 18.01 30.29 17.31 29.49 18.69 28.57 23.50 31.36 18.05 29.80 22.02 (a) Make a scatterplot and describe the relationship between y and x. (b) Find the equation of the least-squares regression line and add the line to your plot. (c) Plot the residuals versus x. (d) What percent of the variability in y is explained by x? (e) Summarize your analysis of these data in a short paragraph.

Name: 2.70 Data generated by software. The following 20observations on y an
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: 2.70 Data generated by software. The following 20observations on y and x were generated by a computerprogram.In GENDATAyy34.3822.0627.0717.7530.3819.8831.1719.9626.1318.8327.7417.8731.8522.0930.0120.2026.7717.1929.6120.6529.0020.7231.7820.3228.9218.

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

a. Write a table with observations for these samples. b. Using the table, explain (calculate) where the S=1.22 comes from c. Conduct a two-tailed comparison of the two groups with a=.05. Please remember to state your hypothesis. Now look at: d. Write a table with observations for these samples. e. Using the table, explain (calculate) where the S=6.65 comes from f. Conduct a two-tailed comparison of the two groups with a=.05. g. What changed between [a-c] and [d-f]? what impact did it have?
Jse the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 9. 9.14 8.15 11 14 6 8.75 8.77 9.26 4 12 7. 8.11 6.13 3.11 9.14 7.27 4.75 Click here to view a table of critical values for the correlation coefficient. O A. OB. OC. OD. Ay 10- Ay 10- Ay 10- A 10+ 8- 8- 8- 8- 6- ......... 6- 6- 64 4- 4- ......... ..... 4- 24 ........ 2- 2- 2- 4. 12 16 4 ৪ 12 16 8 4 8 12 16 4 8 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Click to select your answer(s). 10:38 PM P Type here to search w 11/30/2020 Home End Insert Delete Esc E10 F9 F11 F12 F2 F3 F4 F6 F8 FnLK) F1 F5 F7 * %23 Backspa 1 4. 7 8 P W Y Tab * CO
15.
The accompanying data are x = advertising share and y = market share for a particular brand of soft drink during 10 randomly selected years. x 0.104 0.072 0.072 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.137 0.127 0.120 0.086 0.079 0.076 0.065 0.059 0.051 0.039 b)Calculate the equation of the estimated regression line. (Round your answers to four decimal places.) d)Calculate a point estimate of ?e. (Round your answer to five decimal places.)
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 9. 11 14 6. 4 12 7 9.14 8.14 8.74 8.78 9.27 8.09 6.14 3.09 9.14 7.25 4.73 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A. O B. С. D. Ay 10- 10- 10- 8- 10- 8- 8- 6- 8- 6- 6- 4- 6- 4- 4- 2- 4- 2- 2- ........... 0- 2- 0+ 4 0. 4 8. 12 16 0- 8 12 16 0- 4 8 12 16 4 8. 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. O A. There is sufficient evidence to support the claim of a nonlinear…
Match the following sample correlation coefficients with the explanation of what that correlation coefficient means. Type the correct letter in each box. 1. r= 1 2. r = -1 3. r=-.15 4. r = .1 A. a weak positive relationship between x and y B. a weak negative relationship between x and y C. a perfect negative relationship between x and y D. a perfect positive relationship between x and y
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) х 10 8 13 11 14 4 12 У 9.14 8.14 8.74 8.77 9.25 8.09 6.14 3.11 9.13 7.26 4.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. ici O A. B. OC. OD. Ay 10- Ay 10- Ay 10- Ay 10- 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- 0- 0+ 0+ 4 0+ 4 12 16 8 12 16 12 16 4 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. A. There is insufficient evidence to support the claim of a linear correlation between…
c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. O A. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope. O B. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. OC. The scatterplot reveals a distinct pattern that is not a straight-line pattern. O D. The scatterplot does not reveal a distinct pattern.
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 9. 11 14 4 12 7 5 y 9.14 8.15 8.75 8.77 9.27 8.09 6.13 3.11 9.14 7.27 4.73 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterpiot. Choose the correct grapn below. O A. O B. O D. OC. Ay 10- Ay 10- Ay 10- 10- 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- ...... 2- 2- ... 2- 2- 0- 4 8 12 16 4 8 12 16 0. 4 12 16 4 8 12 16 b. Find the linear correlation coefficient,r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. SC O A. There is insufficient evidence to support the claim of a nonlinear…
The following bivariate data set contains an ou tlier. y 12.4 -410.6 13 -1023.1 17 1871.8 57.6 963.8 32.8 -915.7 17.5 -825.8 20.6 1984.8 48.9 -3054.2 47.1 -545.8 59.4 -1075.9 56.1 -3731.6 42.8 2552.5 34.9 -2246.9 32.9 1427.8 200.4 1088 What is the correlation coefficient with the outlier? What is the correlation coefficient without the outlier? rwo = Would indusion of the outlier change the evidence for or against a significant linear correlation? O No. Induding the outlier does not change the evidence regarding a linear correlation. O Yes. Induding the outlier changes the evidence regarding a linear correlation.