global warming. The following output presents the average amounts (in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an effort to determine if non-US per person emissions can help predict US per person emissions. US 20.2 20 198 SUMMARY OUTPUT 19.6 Regression Statistics 19.4 Multiple R 0.51622776 19.2 R Square 0.2664911 19 Adjusted R Square 0.2175905 188 Standard Error 0.29668345 Observations 17 186 3.1 3.2 3.3 3.4 35 3.6 3.7 3.8 39 ANOVA df SS MS F ignificance F Regression 1 0.479683973 0.479684 5.44965 0.0338864 Residual 15 1.320316027 0.088021 Total 16 1.8 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Uper 95.0% 19.7831797 25.8195291 Intercept 22.8013544 1.416019771 16.10243 7.1E-11 19.78318 25.819529 0.410961292 -2.33445 0.033886 -1.8353112 -0.0834247 -1.8353112 -0.08342469 Non-US -0.95936795 What is the formula needed to predict US emissions in metric tons if the non-US emissions is 3.4? Oŷ = 22.8 – 0.96(3.4) Oy = 22.8(3.4) – 0.96 Oy = 22.8 – 0.96(3.4) Oŷ = 22.8(3.4) – 0.96 State the correlation value that best respresents the plot presented. O 0.516 O 0.266 -0.516 -0.266
global warming. The following output presents the average amounts (in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an effort to determine if non-US per person emissions can help predict US per person emissions. US 20.2 20 198 SUMMARY OUTPUT 19.6 Regression Statistics 19.4 Multiple R 0.51622776 19.2 R Square 0.2664911 19 Adjusted R Square 0.2175905 188 Standard Error 0.29668345 Observations 17 186 3.1 3.2 3.3 3.4 35 3.6 3.7 3.8 39 ANOVA df SS MS F ignificance F Regression 1 0.479683973 0.479684 5.44965 0.0338864 Residual 15 1.320316027 0.088021 Total 16 1.8 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Uper 95.0% 19.7831797 25.8195291 Intercept 22.8013544 1.416019771 16.10243 7.1E-11 19.78318 25.819529 0.410961292 -2.33445 0.033886 -1.8353112 -0.0834247 -1.8353112 -0.08342469 Non-US -0.95936795 What is the formula needed to predict US emissions in metric tons if the non-US emissions is 3.4? Oŷ = 22.8 – 0.96(3.4) Oy = 22.8(3.4) – 0.96 Oy = 22.8 – 0.96(3.4) Oŷ = 22.8(3.4) – 0.96 State the correlation value that best respresents the plot presented. O 0.516 O 0.266 -0.516 -0.266
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 25SGR
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Given regression analysis
Predicted equation is given by
ŷ = 22.8 - 0.96(x)
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