The file CO2.txt, found on Blackboard with this assignment, contains 50 numbers, which represent the concentration...

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Mechanical Engineering

The file CO2.txt, found on Blackboard with this assignment,contains 50 numbers, which represent the concentration ofatmospheric carbon dioxide (parts per million) recorded at MaunaLoa, HI. The data in the file are the CO2 values on May 15th ofeach year from 1961 through 2010, (with background level CO2removed). Fit an exponential model. Use the model to predict theCO2 value for May 15, 2015. Print the result to the screen usingfprintf. The actual value was 125.1ppm.

  41.5800  42.0100  43.2500  43.2400  43.1600  45.0100  46.0000  46.5700  48.3400  49.0700  49.9200  51.0700  53.4800  54.0900  54.9700  55.8700  57.7500  59.0100  60.4700  62.4600  63.9100  65.1400  66.7500  68.4300  69.9300  71.2100  72.8400  75.2200  76.6700  78.1600  80.3400  80.6600  81.2800  82.6800  84.7900  86.4100  87.8000  90.3000  92.0000  92.8200  95.0200  96.5500  99.3500 101.6100 103.2400 105.9400 107.4300 109.4900 111.1800 114.2200

Answer & Explanation Solved by verified expert
3.9 Ratings (617 Votes)

We represent the years as 1 to 50 on x and the Co2 concentration data as y

The data can be represented exponentially as y = a.bx

Year

x

y

Y = log y

x*Y

X^2

1961

1

41.58

1.6189

1.6189

1

1962

2

42.01

1.6234

3.2467

4

1963

3

43.25

1.6360

4.9080

9

1964

4

43.24

1.6359

6.5435

16

1965

5

43.16

1.6351

8.1754

25

1966

6

45.01

1.6533

9.9199

36

1967

7

46

1.6628

11.6393

49

1968

8

46.57

1.6681

13.3448

64

1969

9

48.34

1.6843

15.1588

81

1970

10

49.07

1.6908

16.9082

100

1971

11

49.92

1.6983

18.6810

121

1972

12

51.07

1.7082

20.4980

144

1973

13

53.48

1.7282

22.4665

169

1974

14

54.09

1.7331

24.2636

196

1975

15

54.97

1.7401

26.1019

225

1976

16

55.87

1.7472

27.9549

256

1977

17

57.75

1.7616

29.9464

289

1978

18

59.01

1.7709

31.8767

324

1979

19

60.47

1.7815

33.8493

361

1980

20

62.46

1.7956

35.9120

400

1981

21

63.91

1.8056

37.9169

441

1982

22

65.14

1.8138

39.9047

484

1983

23

66.75

1.8245

41.9624

529

1984

24

68.43

1.8352

44.0459

576

1985

25

69.93

1.8447

46.1166

625

1986

26

71.21

1.8525

48.1661

676

1987

27

72.84

1.8624

50.2840

729

1988

28

75.22

1.8763

52.5373

784

1989

29

76.67

1.8846

54.6541

841

1990

30

78.16

1.8930

56.7895

900

1991

31

80.34

1.9049

59.0529

961

1992

32

80.66

1.9067

61.0131

1024

1993

33

81.28

1.9100

63.0295

1089

1994

34

82.68

1.9174

65.1916

1156

1995

35

84.79

1.9283

67.4921

1225

1996

36

86.41

1.9366

69.7163

1296

1997

37

87.8

1.9435

71.9093

1369

1998

38

90.3

1.9557

74.3161

1444

1999

39

92

1.9638

76.5877

1521

2000

40

92.82

1.9676

78.7057

1600

2001

41

95.02

1.9778

81.0904

1681

2002

42

96.55

1.9848

83.3596

1764

2003

43

99.35

1.9972

85.8782

1849

2004

44

101.61

2.0069

88.3052

1936

2005

45

103.24

2.0138

90.6232

2025

2006

46

105.94

2.0251

93.1528

2116

2007

47

107.43

2.0311

95.4629

2209

2008

48

109.49

2.0394

97.8900

2304

2009

49

111.18

2.0460

100.2553

2401

2010

50

114.22

2.0577

102.8871

2500

Sum

1275.000

91.980

2441.310

42925.000

?Y = AN+B?X

91.98 = 50A + 1275B       ……(I)

?XY = A?X + B ?X2

2441.31 =1275A + 42925B              …(II)

SOLVING (I) AND (II) WE GET,

A =1.602                               B =0.0092

Now , a = Antilog(1.602) = 39.99,               b = Antilog(0.0092) = 1.021

The exponential regression is thus given as,

Y =40(1.021)x

To estimate Co2 levels in 2015, we put x = 55

Y =40(1.021)55 = 125.4 ppm


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