The regression output for temperature deviations and carbon dioxide emissions is as follows: Multiple R 0.9307652 R Squared 0.86632386 Adjusted R ^2 0.86393678 Standard Error 9.96741643 Observations 58 Coefficients. Standard Errors. t-stat Intercept 331.28 1.807 p-value 183.26 lower 95% upper 95% 1.67E-79 327.67 334.90 x variable 65.36 3.43 19.05 3.84E-26 58.46 72.21 note: 1.67E-79 means 1.67 * 10^-79 (move decimal point 29 places to the left!) What is the correlation between temperature changes and CO2 emissions? Write the equation of the regression line. How would you use the output to test the null hypothesis that there is no correlation between the variables? (Hint: use the t-stat.)
The regression output for temperature deviations and carbon dioxide emissions is as follows: Multiple R 0.9307652 R Squared 0.86632386 Adjusted R ^2 0.86393678 Standard Error 9.96741643 Observations 58 Coefficients. Standard Errors. t-stat Intercept 331.28 1.807 p-value 183.26 lower 95% upper 95% 1.67E-79 327.67 334.90 x variable 65.36 3.43 19.05 3.84E-26 58.46 72.21 note: 1.67E-79 means 1.67 * 10^-79 (move decimal point 29 places to the left!) What is the correlation between temperature changes and CO2 emissions? Write the equation of the regression line. How would you use the output to test the null hypothesis that there is no correlation between the variables? (Hint: use the t-stat.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 4GP
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