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
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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  1. 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



  1. 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 

100



Find the missing frequencies f1 and f2 and then compute the Bowley coefficient skewness and  comment.  

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