1. Davidson ("Update on Ozone trends in California's South Coast Air Basin" Air and Waste). Studied the ozone levels in the South Coast Air Basin of California for the years 1976-1991. He 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 regressor) Use the information provided below to answer the following questions * = 17.34 y = 72.31 Syy = 9419.44 S = 6.3796 Sxy = 97.5814 SSR = 1492.6 n = 16 a. Based on the available information, provide the sample regression equation. b. Based on the information provided construct the ANOVA. (Don't worry about the p-values in the table.) Source Df MS F Regression Error Total c. Test for significance of the Regression. Test for significance of B,. From your results, will you say that there is a good linear relationship between meteorological index and days the ozone levels exceed 0.20ppm? Use a = 0.05
1. Davidson ("Update on Ozone trends in California's South Coast Air Basin" Air and Waste). Studied the ozone levels in the South Coast Air Basin of California for the years 1976-1991. He 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 regressor) Use the information provided below to answer the following questions * = 17.34 y = 72.31 Syy = 9419.44 S = 6.3796 Sxy = 97.5814 SSR = 1492.6 n = 16 a. Based on the available information, provide the sample regression equation. b. Based on the information provided construct the ANOVA. (Don't worry about the p-values in the table.) Source Df MS F Regression Error Total c. Test for significance of the Regression. Test for significance of B,. From your results, will you say that there is a good linear relationship between meteorological index and days the ozone levels exceed 0.20ppm? Use a = 0.05
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Transcribed Image Text:1. Davidson ("Update on Ozone trends in California's South Coast Air Basin" Air and Waste). Studied the
ozone levels in the South Coast Air Basin of California for the years 1976-1991. He 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 regressor) Use the
information provided below to answer the following questions
I = 17.34 y = 72.31 Syy = 9419.44 S = 6.3796 Sy = 97.5814 SSR = 1492.6 n = 16
а.
Based on the available information, provide the sample regression equation.
b. Based on the information provided construct the ANOVA. (Don't worry about the p-values in the
table.)
Source
Df
MS
F
Regression
Error
Total
|
c. Test for significance of the Regression. Test for significance of B1. From your results, will you say
that there is a good linear relationship between meteorological index and days the ozone levels
exceed 0.20ppm? Use a = 0.05
d. Construct a 95% Cl on the mean response. When x = 16.
%3D
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