Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.x 11107 8 15 135,87 7.19 7.23 8.875 92.23y8.859.186 124.21 9.19y=+x (Round to two decimal places as needed.)View an example Get more help.98.18148.2199+hpwwwClear all

The question is about regression Given : To find : 1 ) Regression eq. 2 ) Scatterplot 3 )…

Answered: Use the given data to find the equation…

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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The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40inches. Is the result close to the actual weight of 352pounds? Use a significance level of 0.05.a. Chest size (inches) 41 54 44 55 39 51 Weight (pounds) 328 528 418 580 296 503 a.What is the regression equation? b. The best predicted weight for a bear with a chest size of 39 inches is _______pounds.
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 7 6 9 13 15 14 8 13.50 16.08 10.08 7.84 15.24 15.84 11.96 12 10 2 15.96 14.68 x 11 y 15.50 5 5.24 y=+x (Round to two decimal places as needed.)
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 9. 8 11 9. 11 14 4 12 y 7.47 6.66 13.28 7.1 7.59 8.43 6.09 5.39 7.9 6.48 5.65 O A. OB. Oc. OD. Ay 25- Ay 25- Ay 25- AV 25- 20 20 20 20 15 15- 15- 15 10 10- 10- 10- 55 51 5- 0- Ó 5 10 15 20 25 0- 05 10 15 20 25 0- 5 10 15 20 25 O 5 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. O A. There is an influential point that strongly affects the graph of the regression line. O B. There is no characteristic of the data that is ignored by the regression line. O C. The data has a pattern that is not a straight line. D. There is no trend in the data.
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 12 7.44 11 9. 13 12.76 13 8.53 4 5.48 12 7.96 6. y 7.27 6.65 6.89 6.3 6.23 5.91 Create a scatterplot of the data. Choose the correct graph below. O A. O B. Oc. O D. 25 25- 25 Ay 25 20- 20- 20 20- 155 155 15 15 105 105 10- 105 55 55 53 05 10 15 20 25 05 10 15 20 25 05 10 15 20 25 05 10 15 20 25 Find the equation of the regression line. (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed) Identify a characteristic of the data that is ignored by the regression line, O A. There is no characteristic of the data that is ignored by the regression line. O B. There is an influential point that strongly affects the graph of the regression line. C. There is no trend in the data. O D. The data has a pattern that is not a straight line. 5,
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 11 12 10 6 13 14 7 5 4 8 9 y 14.34 14.30 14.01 8.90 13.86 13.05 10.74 6.66 4.05 12.21 13.31
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40 inches. Is the result close to the actual weight of 352 pounds? Use a significance level of 0.05. Chest size (inches) *Weight (pounds) 44 54 328 528 41 55 39 51 418 580 296 503 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? x (Round to one decimal place as needed.)
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. 6 8 20 28 36 2 4 13 20 30 y OA. y = -2.79+0.897x OB. y = -3.79+0.897x OC. y=-3.79+0.801x OD. y = -2.79+0.950x TIE
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 10 9. 11 8 4 12 13 14 у 12.47 11.72 12.91 10.67 3.42 13.06 9.31 7.66 12.89 5.69 12.42 ..... x (Round to two decimal places as needed.) V = +
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 12 8 13 10 9 7 y 11.40 10.11 10.76 11.51 11.01 8.84 y=+x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. O A. 25+ 20- 15 10- 5 0- 0 5 10 15 20 25 O B. Y 25- 20- 153 10- 4 11 11.64 2.75 53 0- 0 5 10 15 20 25 0:00 14 6 9.75 7.20 O C. 5 5.16 25 20 15€ 10€ 53 0- 0 5 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. O A. The data has a pattern that is not a straight line. B. There is an influential point that strongly affects the graph of the regression line. O C. There is no trend in the data. O D. There is no characteristic of the data that is ignored by the regression line. O D. 25 20 15 10- 5 0- 0 5 10 15 20 25 cocoooxxoco 37
y Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 11 7 7 4 13 13 10 12 14 13.32 6.78 7.89 8.93 5.83 5.44 y 7.59 6.64 8.05 7 5 D 6.3 5.94 (...) OA. B. O D. Q 25- Q 25- 20 20 15 Q Q 155 10 10- O C. 25+ 20 153 5- DOOR P 28 10 5- 0 5 0 5 10 15 20 25 0 5 10 15 20 25 0- 0 5 10 15 20 25 Find the equation of the regression line. y=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. OA. There is no characteristic of the data that is ignored by the regression line. B. The data has a pattern that is not a straight line. OC. There is an influential point that strongly affects the graph of the regression line. Av Ay 25 20 15: 10 Q Q Aу Ay / 53 0 0 5 10 15 20 25
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 13 6 5 10 15 8 11 7 12 9.76 15.51 14 9 15.69 12.97 y 15.76 7.69 5.32 14.12 15.32 11.51 14.97 y=+x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. O A. Y 25- 20 15- 10- 5 0- 0 5 10 15 20 25 Q O B. O A. The data has a pattern that is not a straight line. OB. There is no trend in the data. 25- 20 Identify a characteristic of the data that is ignored by the regression line. y 15: 10€ Sp D 5- 0- 0 5 10 15 20 25 O C. There is an influential point that strongly affects the graph of the regression line. O D. There is no characteristic of the data that is ignored by the regression line. Q ✔ C O C. Ay 25- 20- 15- 10- 5- 0- 0 5 10 15 20 25 Q ✓ O D. 25- 20 155 10€ 53 0- 0 5 10 15 20 25 Q

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