4. Find the regression equation. Iround coefficients to three decimal places) 5. Graph the regression equation on your scatter plot. 6. If a student's exam score (x) is 89, what does the least-squares equation forecast for the minutes she spent on the exam ly)?

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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Question
4-6
Use the data as given in the problem and answer the following questions. The data shows the exam
score and the time in minutes that a student spent on the exam. UPLOAD YOUR RESPONSE to
Paired Data
x (Exam Score)
95
80
92
75
61
83
v (Time in Minutes) 86
75
95
67
55
80
Make sure to answer all the questions.
1. Create a scatter gram. (I suggest that the x-axis range from 60 to 100 in increments of 5 and the
y-axis should start from 50 and go to 100 in increments of 5)
2. Find correlation coefficient r (Round to three digits.)
3. Use the Critical Value for Correlation Coefficient Table to determine if there is evidence for a
linear correlation. Assume a-0.5 (Write down the critical value from the table and answer yes or
no)
4. Find the regression equation. (round coefficients to three decimal places)
5. Graph the regression equation on your scatter plot.
6. If a student's exam score (x) is 89, what does the least-squares equation forecast for the minutes
she spent on the exam ly)?
Transcribed Image Text:Use the data as given in the problem and answer the following questions. The data shows the exam score and the time in minutes that a student spent on the exam. UPLOAD YOUR RESPONSE to Paired Data x (Exam Score) 95 80 92 75 61 83 v (Time in Minutes) 86 75 95 67 55 80 Make sure to answer all the questions. 1. Create a scatter gram. (I suggest that the x-axis range from 60 to 100 in increments of 5 and the y-axis should start from 50 and go to 100 in increments of 5) 2. Find correlation coefficient r (Round to three digits.) 3. Use the Critical Value for Correlation Coefficient Table to determine if there is evidence for a linear correlation. Assume a-0.5 (Write down the critical value from the table and answer yes or no) 4. Find the regression equation. (round coefficients to three decimal places) 5. Graph the regression equation on your scatter plot. 6. If a student's exam score (x) is 89, what does the least-squares equation forecast for the minutes she spent on the exam ly)?
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