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Round your answers to 2 decimal places. (a) Fit a simple linear regression model to the data. Test for significance of regression using a = 0.05. i Calculate fo: i Is the simple linear regression model significant? (b) Calculate a 95% confidence interval on the slope. i i

Round your answers to 2 decimal places. (a) Fit a simple linear regression model to the data. Test for significance of regression using a = 0.05. i Calculate fo: i Is the simple linear regression model significant? (b) Calculate a 95% confidence interval on the slope. i i

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
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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An article in Air and Waste ("Update on Ozone Trends in California's South Coast Air Basin," Vol. 43, 1993) studied the ozone levels on the South Coast air basin of California for the years 1976-1991. The author believes that the number of days that the ozone exceeds 0.20 parts per million depends on the seasonal meteorological index (the seasonal average 850 millibar temperature). The data follow: Year Days Index Year Days Index 1976 91 16.7 1984 81 17.6 1977 105 17.1 1985 65 17.2 1978 106 18.2 1986 61 16.9 1979 108 18.1 1987 48 17.1 1980 88 17.2 1988 61 18.2 1981 91 18.2 1989 43 17.3 1982 58 16.0 1990 33 17.5 1983 82 17.2 1991 36 16.6
Transcribed Image Text:An article in Air and Waste ("Update on Ozone Trends in California's South Coast Air Basin," Vol. 43, 1993) studied the ozone levels on the South Coast air basin of California for the years 1976-1991. The author believes that the number of days that the ozone exceeds 0.20 parts per million depends on the seasonal meteorological index (the seasonal average 850 millibar temperature). The data follow: Year Days Index Year Days Index 1976 91 16.7 1984 81 17.6 1977 105 17.1 1985 65 17.2 1978 106 18.2 1986 61 16.9 1979 108 18.1 1987 48 17.1 1980 88 17.2 1988 61 18.2 1981 91 18.2 1989 43 17.3 1982 58 16.0 1990 33 17.5 1983 82 17.2 1991 36 16.6
Round your answers to 2 decimal places. (a) Fit a simple linear regression model to the data. Test for significance of regression using a = 0.05. i Calculate fo: i Is the simple linear regression model significant? (b) Calculate a 95% confidence interval on the slope. i i
Transcribed Image Text:Round your answers to 2 decimal places. (a) Fit a simple linear regression model to the data. Test for significance of regression using a = 0.05. i Calculate fo: i Is the simple linear regression model significant? (b) Calculate a 95% confidence interval on the slope. i i
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