The exercise involves using given data to find the equation of a regression line. Additionally, it asks to examine a scatterplot and identify a characteristic of the data that is ignored by the regression line.### Data Table- **x values**: 9, 11, 7, 8, 3, 6, 12, 13, 4, 5, 10- **y values**: 11.75, 12.24, 10.15, 11.10, 3.61, 8.94, 12.06, 11.61, 5.66, 7.44, 12.14### Regression Line EquationThe regression line is expressed as: \[\hat{y} = \text{[ ]} + \text{[ ]}x\](Round to two decimal places as needed.)### Scatterplot OptionsFour graphs labeled A, B, C, and D are shown, displaying different scatterplots.- **Graph A**: Displays a linear trend of data points.- **Graph B**: Shows scattered data points without a clear linear pattern.- **Graph C**: Displays a curved pattern, suggesting a non-linear trend.- **Graph D**: Shows an upward curving pattern.### QuestionIdentify a characteristic of the data that is ignored by the regression line.- **Option A**: There is no trend in the data.- **Option B**: The data has a pattern that is not a straight line.- **Option C**: There is an influential point that strongly affects the graph of the regression line.- **Option D**: There is no characteristic of the data that is ignored by the regression line.**Instruction**: Click to select your answer(s).

From the excel the regression line can be obtained as: Thus, the regression line is:

Use he 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 I x 9 y 11.75 12.24 10.15 11.10 11 3 6. 12 13 4. 10 3.61 8.94 12.06 11.61 5.66 7.44 12.14 y =+x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. OA. OB. Oc. D. Ay 25 Ay 25- Ay 25- Ay 25- 20 20 20 20- 15 155 15 15 10 10 105 105 5- 00 000 0 Ó 5 10 15 20 25 55 5 0- 05 10 15 20 25 0- 0 5 10 15 20 25 5 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. O A. There is no trend in the data.

Use he 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 I x 9 y 11.75 12.24 10.15 11.10 11 3 6. 12 13 4. 10 3.61 8.94 12.06 11.61 5.66 7.44 12.14 y =+x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. OA. OB. Oc. D. Ay 25 Ay 25- Ay 25- Ay 25- 20 20 20 20- 15 155 15 15 10 10 105 105 5- 00 000 0 Ó 5 10 15 20 25 55 5 0- 05 10 15 20 25 0- 0 5 10 15 20 25 5 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. O A. There is no trend in the data.

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

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. X 7 14 10 11 15 12 6. 13 9. у 5.27 6.91 7.95 8.18 1.83 5.83 8.09 3.71 7.67 7.38 6.49 x (Round to two decimal places as needed.) %3D + Create a scatterplot of the data. Choose the correct graph below. A. В. OC. O D. .y 25- Ay 25- y 25- 25- 20- 20- 20- 20- 15- 15 15- 15- 103 105 103 105 5- 5극 53 5극 X X 0- 0- 0- 0 5 10 15 20 25 5 10 15 20 25 05 10 15 20 25 5 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. A. There is no trend in the data. B. There is an influential point that strongly affects the graph of the regression line. C. The data has a pattern that is not a straight line. D. There is no characteristic of the data that is ignored by the regression line. bo00 0
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 10 14 13 6 y 7.26 6.82 12.79 7.28 7.92 9.07 6.29 5.46 8.45 6.44 6.02 Create a scatterplot of the data. Choose the correct graph below. O B. Oc. OD. 25- 25 25- 25- 20- 20- 20 205 15 15 15 15 10- 105 10- 10 53 07 0 5 10 15 20 25 0 5 10 15 20 25 0 5 10 15 20 25 o 5 10 15 20 25 8.
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. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 11 7 11 10 12 14 6 4 11 8 5 y 7.6 6.6 13.07 7 7.67 9.18 5.81 5.46 8.04 6.52 5.99 Create a scatterplot of the data. Choose the correct graph below. A. 05101520250510152025xy A scatterplot has a horizontal x-scale from 0 to 25 in intervals of 1 and a vertical y-scale from 0 to 25 in intervals of 1. Eleven points are plotted with approximate coordinates as follows: (4, 8); (5, 6); (6, 6.5); (7, 6.5); (8, 9); (10, 7.5); (11, 5.5); (11, 7); (11, 13); (12, 6); (14, 7.5). B. 05101520250510152025xy A scatterplot has a horizontal x-scale from 0 to 25 in intervals of 1 and a vertical y-scale from 0 to 25 in intervals of 1. Eleven points are plotted with approximate coordinates as follows:…
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 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
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the-high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y D 2. 19.44 3. 19.8 4 16.96 16.42 6. 14.78 7 14.94 8. 12.5
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Assume that temperature is independent each year. Based on the data shown below, calculate the regression line (each value to two decimal places). First the slope and then the y-intercept. Y X 3 4 5 67 8 00 a 9 y 10.14 10.85 11.86 11.17 7.58 9.79 7.5 x+
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
derwin