a. Fit a linear trend curve by the least-squares method to the following data and determine trend values and then estimate levels of production in 2010 and 2025. Year 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Production (M Tons) 12 16 20 24 26 30 34 40 44 48 55
a. Fit a linear trend curve by the least-squares method to the following data and determine trend values and then estimate levels of production in 2010 and 2025. Year 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Production (M Tons) 12 16 20 24 26 30 34 40 44 48 55
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
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Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...
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a. Fit a linear trend curve by the least-squares method to the following data and determine trend values and then estimate levels of production in 2010 and 2025.
Year |
2011 |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
Production (M Tons) |
12 |
16 |
20 |
24 |
26 |
30 |
34 |
40 |
44 |
48 |
55 |
b. The amount of output (Kshs M) from a program supporting a youth empowerment project during 2017 to 2021 is shown in the following table
Quarter Year |
I |
II |
III |
IV |
2017 |
20 |
25 |
35 |
40 |
2018 |
25 |
30 |
45 |
50 |
2019 |
30 |
40 |
60 |
60 |
2020 |
40 |
45 |
65 |
80 |
2021 |
45 |
50 |
70 |
100 |
By using moving average of a suitable order, compute the trend values.
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