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
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 1CYU
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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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