An article in the journal Air and Waste (Update on Ozone Trends in California's South Coast Air Basin, Vol. 43, 1993) investigated the ozone levels in the South Coast Air Basin of California for the years 1976-1991. The author believes that the number of days the ozone levels exceeded 0.20 ppm (the response) depends on the seasonal meteorological index, which is the seasonal average 850-millibar Temperature (the predictor). The following table gives the data. Year Index 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 Days 91 105 106 108 88 91 58 82 81 65 61 48 61 43 33 36 16.7 17.1 18.2 18.1 17.2 18.2 16.0 17.2 18.0 17.2 16.9 17.1 18.2 17.3 17.5 16.6 (a) Construct a scatter diagram of the data. (b) Estimate the prediction equation. (c) Test for significance of regression. (d) Calculate the 95% CI and PI on for a seasonal meteorological index value of 17. Interpret these quantities.

An article in the journal Air and Waste (Update on Ozone Trends in California's South Coast Air Basin, Vol. 43, 1993) investigated the ozone levels in the South Coast Air Basin of California for the years 1976-1991. The author believes that the number of days the ozone levels exceeded 0.20 ppm (the response) depends on the seasonal meteorological index, which is the seasonal average 850-millibar Temperature (the predictor). The following table gives the data. Year Index 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 Days 91 105 106 108 88 91 58 82 81 65 61 48 61 43 33 36 16.7 17.1 18.2 18.1 17.2 18.2 16.0 17.2 18.0 17.2 16.9 17.1 18.2 17.3 17.5 16.6 (a) Construct a scatter diagram of the data. (b) Estimate the prediction equation. (c) Test for significance of regression. (d) Calculate the 95% CI and PI on for a seasonal meteorological index value of 17. Interpret these quantities.

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

An article in the journal Air and Waste (Update on Ozone Trends in California's South Coast Air
Basin, Vol. 43, 1993) investigated the ozone levels in the South Coast Air Basin of California for
the years 1976-1991. The author believes that the number of days the ozone levels exceeded 0.20
ppm (the response) depends on the seasonal meteorological index, which is the seasonal average
850-millibar Temperature (the predictor). The following table gives the data.
Year
Index
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Days
91
105
106
108
88
91
58
82
81
65
61
48
61
43
33
36
16.7
17.1
18.2
18.1
17.2
18.2
16.0
17.2
18.0
17.2
16.9
17.1
18.2
17.3
17.5
16.6
(a) Construct a scatter diagram of the data.
(b) Estimate the prediction equation.
(c) Test for significance of regression.
(d) Calculate the 95% CI and PI on for a seasonal meteorological index value of 17.
Interpret these quantities.

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