Create an Excel spreadsheet that includes the given table and then create a scatter plot, which correctly displays the values from this table. The study times should be the explanatory variable on the x-axis and the exam scores are the response variable on the y-axis. Your spreadsheet should include each of the following items: - Your Name - The given table, including the column titles - A descriptive and easily readable chart title - Descriptive and easy to read titles for both the x and y-axis - A line-of-best fit with the equation of this line also included - Answers to each of the questions below 1. What is the value of the correlation coefficient, r ? 2. What type of correlation best describes the relationship between study time and exam score? a. Strong, Negative Linear association b. Weak, Negative Linear association c. Strong, Positive Linear association d. Weak, Positive Linear association 3. By interpreting the slope of the trendline (line-of-best fit), what observation can you make about the effect that 1 hour of additional weekly study time has on exam score?
Create an Excel spreadsheet that includes the given table and then create a scatter plot, which correctly displays the values from this table. The study times should be the explanatory variable on the x-axis and the exam scores are the response variable on the y-axis. Your spreadsheet should include each of the following items: - Your Name - The given table, including the column titles - A descriptive and easily readable chart title - Descriptive and easy to read titles for both the x and y-axis - A line-of-best fit with the equation of this line also included - Answers to each of the questions below 1. What is the value of the correlation coefficient, r ? 2. What type of correlation best describes the relationship between study time and exam score? a. Strong, Negative Linear association b. Weak, Negative Linear association c. Strong, Positive Linear association d. Weak, Positive Linear association 3. By interpreting the slope of the trendline (line-of-best fit), what observation can you make about the effect that 1 hour of additional weekly study time has on exam score?
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Create an Excel spreadsheet that includes the given table and
then create a scatter plot , which correctly displays the values
from this table. The study times should be the explanatory
variable on the x-axis and the exam scores are the response
variable on the y-axis. Your spreadsheet should include each
of the following items:
- Your Name
- The given table, including the column titles
- A descriptive and easily readable chart title
- Descriptive and easy to read titles for both the x and y-axis
- A line-of-best fit with the equation of this line also included
- Answers to each of the questions below
1. What is the value of the correlation coefficient , r ?
2. What type of correlation best describes the relationship
between study time and exam score?
a. Strong, Negative Linear association
b. Weak, Negative Linear association
c. Strong, Positive Linear association
d. Weak, Positive Linear association
3. By interpreting the slope of the trendline (line-of-best fit),
what observation can you make about the effect that 1 hour
of additional weekly study time has on exam score?
Transcribed Image Text:Hours of Study
Per Week
6.5
9
6.4
7
6.6
1.3
4.3
7.8
0.8
6.6
8.1
5.2
9.3
8.9
4.1
5.5
2.4
3.8
3.1
Exam Score
(out of 100)
90
93
88
84
90
85
57
74
95
46
89
92
80
100
96
77
86
61
78
71
Create an Exe
then create a
from this tabl
variable on th
variable on th
of the followir
Your Name
-The given tab
- A descriptive
- Descriptive ar
-
-A line-of-best
Answers to ea
1. What is the v
2. What type of
between stud
a. Strom
b. Weak
c. Strong
d. Weak
3. By interpreting
what observat
of additional w
4. Using the trendline equation, what will the exam score E
5. Using the trendline equation, what will the score be for a
(Problem 2 on next p
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