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The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. y = -2.777 x + 88.336 (Round to three decimal places as needed.) (b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) A. For every additional absence, a student's final exam score drops points, on average. It is not appropriate to interpret the y-intercept. B. For every additional absence, a student's final exam score drops 2.777 points, on average. The average final exam score of students who miss no classes is 88.336. C. The average final exam score of students who miss no classes is slope. D. It is not appropriate to interpret the slope or the y-intercept. (c) Predict the final exam score for a student who misses five class periods. y = 74.45 (Round to two decimal places as needed.) Compute the residual. (Round to two decimal places as needed.) It is not appropriate to interpret the

The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. y = -2.777 x + 88.336 (Round to three decimal places as needed.) (b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) A. For every additional absence, a student's final exam score drops points, on average. It is not appropriate to interpret the y-intercept. B. For every additional absence, a student's final exam score drops 2.777 points, on average. The average final exam score of students who miss no classes is 88.336. C. The average final exam score of students who miss no classes is slope. D. It is not appropriate to interpret the slope or the y-intercept. (c) Predict the final exam score for a student who misses five class periods. y = 74.45 (Round to two decimal places as needed.) Compute the residual. (Round to two decimal places as needed.) It is not appropriate to interpret the

MATLAB: An Introduction with Applications
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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7:29 The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. y = -2.777 x + 88.336 (Round to three decimal places as needed.) (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. Vo) 1 LTE2.II 4G . (b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) 49% OA. For every additional absence, a student's final exam score drops points, on average. It is not appropriate to interpret the y-intercept. OC. The average final exam score of students who miss no classes is slope. D. It is not appropriate to interpret the slope or the y-intercept. (c) Predict the final exam score for a student who misses five class periods. y = 74.45 (Round to two decimal places as needed.) Compute the residual. (Round to two decimal places as needed.) B. For every additional absence, a student's final exam score drops 2.777 points, on average. The average final exam score of students who miss no classes is 88.336. ||| = O It is not appropriate to interpret the
Transcribed Image Text:7:29 The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. y = -2.777 x + 88.336 (Round to three decimal places as needed.) (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. Vo) 1 LTE2.II 4G . (b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) 49% OA. For every additional absence, a student's final exam score drops points, on average. It is not appropriate to interpret the y-intercept. OC. The average final exam score of students who miss no classes is slope. D. It is not appropriate to interpret the slope or the y-intercept. (c) Predict the final exam score for a student who misses five class periods. y = 74.45 (Round to two decimal places as needed.) Compute the residual. (Round to two decimal places as needed.) B. For every additional absence, a student's final exam score drops 2.777 points, on average. The average final exam score of students who miss no classes is 88.336. ||| = O It is not appropriate to interpret the
Critical Values for Correlation Coefficient n 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 n 0.997 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.433 0.423 0.413 0.404 0.396 0.388 0.381 0.374 0.367 0.361 Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 88.3 86.7 82.6 81.6 77.2 73.5 65.1 72.4 65.7 65.3 - X
Transcribed Image Text:Critical Values for Correlation Coefficient n 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 n 0.997 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.433 0.423 0.413 0.404 0.396 0.388 0.381 0.374 0.367 0.361 Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 88.3 86.7 82.6 81.6 77.2 73.5 65.1 72.4 65.7 65.3 - X
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