Homework Help is Here – Start Your Trial Now!
Math
Statistics
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Com No. of absences, x 0 1 2 3 4 5 6 7 8 9 0 Final grade, y 88.2 85.3 82.3 79.8 76.8 72.4 62.9 67.2 64.3 61.3 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the re y = - 3.150 x + ( 88.224 (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For a final score of zero, the number of days absent is predicted to be days. O B. For every unit change in the final grade, the number of days absent falls by days, on averag O C. For zero days absent, the final score is predicted to be O D. For every day absent, the final grade falls by on average. O E. It is not appropriate to interpret the slope.

The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Com No. of absences, x 0 1 2 3 4 5 6 7 8 9 0 Final grade, y 88.2 85.3 82.3 79.8 76.8 72.4 62.9 67.2 64.3 61.3 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the re y = - 3.150 x + ( 88.224 (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For a final score of zero, the number of days absent is predicted to be days. O B. For every unit change in the final grade, the number of days absent falls by days, on averag O C. For zero days absent, the final score is predicted to be O D. For every day absent, the final grade falls by on average. O E. It is not appropriate to interpret the slope.

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
See similar textbooks
icon
Related questions
icon
Concept explainers
Question
Practice Pack
Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For zero days absent, the final score is predicted to be O B. For every day absent, the final grade falls by , on average. O C. For every unit change in the final grade, the number of days absent falls by days, on average. O D. For a final score of zero, the number of days absent is predicted to be days. O E. It is not appropriate to interpret the y-intercept. (c) Predict the final grade for a student who misses five class periods and compute the residual. Is the observed final grade above or below average for this number of absences? The predicted final grade is. This observation has a residual of which indicates that the final grade is average. (Round to one decimal place as needed.)
Transcribed Image Text:Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) O A. For zero days absent, the final score is predicted to be O B. For every day absent, the final grade falls by , on average. O C. For every unit change in the final grade, the number of days absent falls by days, on average. O D. For a final score of zero, the number of days absent is predicted to be days. O E. It is not appropriate to interpret the y-intercept. (c) Predict the final grade for a student who misses five class periods and compute the residual. Is the observed final grade above or below average for this number of absences? The predicted final grade is. This observation has a residual of which indicates that the final grade is average. (Round to one decimal place as needed.)
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Comp 0 1 2 7 No. of absences, x Final grade, y 3 4 5 6 8 88.2 85.3 82.3 79.8 76.8 72.4 62.9 67.2 64.3 61.3 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the res y = - 3.150 x+ (88.224) (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. For a final score of zero, the number of days absent is predicted to be days. O B. For every unit change in the final grade, the number of days absent falls by days, on average O C. For zero days absent, the final score is predicted to be D. For every day absent, the final grade falls by on average. O E. It is not appropriate to interpret the slope.
Transcribed Image Text:The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Comp 0 1 2 7 No. of absences, x Final grade, y 3 4 5 6 8 88.2 85.3 82.3 79.8 76.8 72.4 62.9 67.2 64.3 61.3 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the res y = - 3.150 x+ (88.224) (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. For a final score of zero, the number of days absent is predicted to be days. O B. For every unit change in the final grade, the number of days absent falls by days, on average O C. For zero days absent, the final score is predicted to be D. For every day absent, the final grade falls by on average. O E. It is not appropriate to interpret the slope.
Expert Solution
trending now

Trending now

This is a popular solution!

video

Learn your way

Includes step-by-step video

steps

Step by step

Solved in 2 steps with 3 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Correlation, Regression, and Association
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS