Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation?r= 0.495Calculate the coefficient of determination.(Round to three decimal places as needed.)What does this tell you about the explained variation of the data about the regression line?% of the variation can be explained by the regression line.(Round to one decimal place as needed.)About the unexplained variation?% of the variation is unexplained and is due to other factors or to sampling error.(Round to one decimal place as needed.)

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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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Identify a characteristic of the data that is ignored by the regression line.
Below is a plot of the residuals from a regression model plotted by the values of 5. the independent variable. What does this plot say about the consistency of the accuracy of the regression line for the range of X values? 10- 9 8- 7- 6- 2- 6. 8. 10 12 14 Residuals
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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. A. Find the equation of the regression line. y=+ x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.)
Residuals are calculated as Y – Ŷ. Which person has a residual of -2.16? Hint: the slope and intercept of the regression equation for these data are also given. Person X Y Aaliyah 105 50 Alfred 150 40 Andrew 188 30 Amy 201 20 Ahmed 254 5 b (slope) a (intercept) -0.31 84.47 Group of answer choices Ahmed Aaliyah Andrew Alfred Amy
In a scatterplot of two variables x and y, the correlation is positive. A particular point has an x value that is greater than the median but less than the 60th percentile. The regression effect means that we can immediately eliminate which of the following values as possible answers for the predicted percentile rank for y we get using the regression line? Check all that apply. Group of answer choices 60 50 65 45 55
14
Kindly answer letters a-e
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 value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r= 0.665 Calculate the coefficient of determination. (Round to three 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 9 11 10 11 14 4 13 7 6 y 7.59 6.87 13.06 7.32 8.58 6.09 5.62 8.35 6.73 7.77 5.9 Create a scatterplot of the data. Choose the correct graph below. O A. OB. OC. Oc. OD. Ay 25- Ay 25- Ay 25- 25- 20 20- 20- 20- 155 155 155 155 105 105 105 105 5- 55 55 55 0- Ó 5 10 15 20 25 0- 0- 05 10 15 20 25 Ó 5 10 15 20 25 0 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. The data has a pattern that is not a straight line. O B. There is no characteristic of the data that is ignored by the regression line. OC. There is an influential point that strongly affects the graph of the regression line. O D. There is no trend in the data.
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r = 0.444 Calculate the coefficient of determination. (Round to three decimal places as needed.)

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