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
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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

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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
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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.)
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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.
Question : Find the Coefficient of Mean deviation for the following data Classes Frequency ( ) 10.8-14.7 109 14.8-18.5 118 19.6-20.7 127 20.8-30.6 131 30.8-40.7 140 40.8-50.7 116 50.8-60.7 109 60.8-70.7 119 70.8-80.7 101 80.8-90.7 98 90.8-100.7 76