Fit a linear trend curve by the least-squares method to the following data and then estimate levels of production in 2023 and 2025. Year 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Production (M Tons) 10 12 16 20 22 25 28 31 35 40 44 50
Fit a linear trend curve by the least-squares method to the following data and then estimate levels of production in 2023 and 2025. Year 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Production (M Tons) 10 12 16 20 22 25 28 31 35 40 44 50
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
- Fit a linear trend curve by the least-squares method to the following data and then estimate levels of production in 2023 and 2025.
Year |
2009 |
2010 |
2011 |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
Production (M Tons) |
10 |
12 |
16 |
20 |
22 |
25 |
28 |
31 |
35 |
40 |
44 |
50 |
- Consider the following distributions of the marks scored by 100 students in a quantitative techniques activity. The
median mark is known and given as 49.8.
Marks |
0- 15 |
15- 30 |
30- 45 |
45- 60 |
60- 75 |
75 – 90 |
90-105 |
Total |
No. of Students |
10 |
12 |
20 |
f1 |
15 |
f2 |
8 |
100 |
Find the missing frequencies f1 and f2 and then compute the Bowley coefficient skewness and comment.
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