Useful information Table 1 Tobacco smoking status of people aged 14 years or older 1991-2019 (percentage) Year 1991 Years since 1991 0 Daily Smokers % 24.3 Never Smoked % 49
Useful information Table 1 Tobacco smoking status of people aged 14 years or older 1991-2019 (percentage) Year 1991 Years since 1991 0 Daily Smokers % 24.3 Never Smoked % 49
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Can someone please answer this and tell me how to create a scatter plot in MS excel
![Useful information.
Table 1
Tobacco smoking status of people aged 14 years or older 1991-2019 (percentage)
●
For the conclusion
●
Year
1991
1993
1995
1998
2001
2002
2004
2007
2010
2013
2016
2019
2023
●
●
Years since 1991
0
2
4
7
10
Hints to help answer this question
Use Microsoft Excel to graph the data in Table 1 using two scatterplots. Display 'Daily
Smokers' and 'Never Smoked' on separate graphs. Ensure you include the trend line,
equation and coefficient of determination (R2) on each of the graphs (Hint: go back and
revise Module 5).
Now verify the excel produced linear equation by using the manual methods for finding
the equation for a straight line. For this, select and use either the 'Daily Smokers' OR
'Never Smoked' data.
Use the Excel generated equations to manually (e.g. write all steps of the calculations)
predict what the 'Daily Smokers' and 'Never Smoked' data will be in 2023.
11
13
16
19
22
25
28
??
Daily Smokers %
24.3
25
23.8
21.8
19.4
18.3
17.5
16.6
15.1
12.8
12.2
11.8
??
Never Smoked %
49
49.1
52.6
49.2
50.6
51.7
52.9
55.4
57.8
60.1
62.3
63.1
??
Discuss the trends in the data using your knowledge of linear equations. Comment on
the accuracy of the equations and predictions.
Discuss the assumptions/decisions you made when doing the calculations
Discuss the relevance to real-world problem-solving.
8](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F710fa1df-da2f-4451-9a00-564b30d9f3ce%2Fa7283de3-1587-4be1-859e-2994fe2b13a5%2F0qt1v6d_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Useful information.
Table 1
Tobacco smoking status of people aged 14 years or older 1991-2019 (percentage)
●
For the conclusion
●
Year
1991
1993
1995
1998
2001
2002
2004
2007
2010
2013
2016
2019
2023
●
●
Years since 1991
0
2
4
7
10
Hints to help answer this question
Use Microsoft Excel to graph the data in Table 1 using two scatterplots. Display 'Daily
Smokers' and 'Never Smoked' on separate graphs. Ensure you include the trend line,
equation and coefficient of determination (R2) on each of the graphs (Hint: go back and
revise Module 5).
Now verify the excel produced linear equation by using the manual methods for finding
the equation for a straight line. For this, select and use either the 'Daily Smokers' OR
'Never Smoked' data.
Use the Excel generated equations to manually (e.g. write all steps of the calculations)
predict what the 'Daily Smokers' and 'Never Smoked' data will be in 2023.
11
13
16
19
22
25
28
??
Daily Smokers %
24.3
25
23.8
21.8
19.4
18.3
17.5
16.6
15.1
12.8
12.2
11.8
??
Never Smoked %
49
49.1
52.6
49.2
50.6
51.7
52.9
55.4
57.8
60.1
62.3
63.1
??
Discuss the trends in the data using your knowledge of linear equations. Comment on
the accuracy of the equations and predictions.
Discuss the assumptions/decisions you made when doing the calculations
Discuss the relevance to real-world problem-solving.
8
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