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.D7 811.46 13.3114x 10y 16.12 18.09=0+0me solve this5151191366.82 17.82 17.07 14.87 18.06 9.29x (Round to two decimal places as needed.)Get more help.1217.71HHI' 101-MacBook Air√iVi1. (0,0)MoreClear allCheck ans

From the given information we make the following table x y x2 y2 xy 10 16.12 100 259.8544…

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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Use the regression equation to predict the value of y for x = - X y -5 - 3 4 11 6 - 6 A. 7.921 B. - 0.995 C. -4.765 O D. -6.405 1 - 1 - 1 3 - 2 0 4 1 2 - 4 3 -5 -3.8. Assume that the variables x and y have a significant correlation. - 4 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 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
Q14. The slope for an independent variable X predicts where the regression line crosses the Y (dependent) axis. a. TrueB. FalseC. None of the above
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 4 13 9 10 5 y 21.54 22.10 7.05 22.26 19.31 20.61 10.26 14 22.05 6 13.10 7 8 D 15.54 17.61 y=+x (Round to two decimal places as needed.)
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 = X + y 19.56 2 3 20.25 4 17.14 18.13 6 16.82 7 15.11 8 10.2
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:…
The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $7 million. Is the result close to the actual number of viewers, 5.2 million? Use a significance level of 0.05. Salary (millions of $) 108 14 5 8 5.1 4.3 7.8 2.5 Viewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=+x (Round to three decimal places as needed.) X 1 1 5 8 5.7 8.2 10.9 4.4
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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
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. 14 8 10 9 5 11 13 7 12 O y 17.02 14.07 6.02 16.27 15.32 10.66 8.49 16.91 17.29 12.51 17.26 y =| |+ x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. O A. В. O B. OD. Av 25- 25- 25- 25- 20 20- 20- 20- 15 155 15- 155 10- 10- 10- 10 55 5 55 5 04 Ó 5 10 15 20 25 0- 0- 0- O 5 10 15 20 25 O 5 10 15 20 25 Ó 5 10 15 20 25 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. The data has a pattern that is not a staight line. . OC. There is no trend in the data. O D. There is no characteristic of the data that is ignored by the regression line.
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 6 10 8 9 11 12 13 y 10.46 16.87 14.27 15.72 17.71 18.26 18.49 y=+x (Round to two decimal places as needed.) 5 8.09 4 5.42 14 7 18.42 12.51

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