Residual Plot S 0,075 0.000 -0.075 325.0 337.5 350.0 CO2 (ppm) Print Done Regression Output A regression predicting mean temperature from CO, produces the following output table. Dependent variable is: Temperature R-squared = 33.1% Variable Coefficient Intercept 15.307 CO2 0.004 Print Done Mean Temperature (°C) The following scatterplot shows the mean annual carbon dioxide (CO,) in parts per million (ppm) d) What is the meaning of the slope of this equation? measured at the top of a mountain and the mean annual air temperature over both land and sea across the globe, in degrees Celsius (C). Complete parts a through h on the right. O A. For every degree that the mean temperature increases, CO, levels increase by 0.004 ppm. 16.800 O B. For every 0.004 ppm increase in CO, levels, the mean temperature increases by 1°C. 16.725 OC. For every 1 ppm increase in CO, levels, the mean temperature increases by 0.004°C. 16.650 O D. The slope does not have a meaningful interpretation in the context of this problem. 16.575 16.500 e) What is the meaning of the y-intercept of this equation? 337.5 CO, (ppm) 350.03 325.0 362.5 A. For every 1 ppm increase in CO, levels, the mean temperature increases by 0.004°C. Click here to view the regression output. O B. When the CO, level is 0 ppm, the global mean temperature will be 15.307°C. Click here Lo View the residual plot IO C. When the global mean temperature is 0°C, the CO, level is 15.307 ppm. OD. The y-intercept does not have a meaningful interpretation in the context of this problem.

Algebra and Trigonometry (MindTap Course List)
4th Edition
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section1.2: Graphs Of Equations In Two Variables; Circles
Problem 111E
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Residual Plot
S 0,075
0.000
-0.075
325.0
337.5
350.0
CO2 (ppm)
Print
Done
Regression Output
A regression predicting mean temperature from CO, produces the
following output table.
Dependent variable is: Temperature
R-squared = 33.1%
Variable
Coefficient
Intercept
15.307
CO2
0.004
Print
Done
Transcribed Image Text:Residual Plot S 0,075 0.000 -0.075 325.0 337.5 350.0 CO2 (ppm) Print Done Regression Output A regression predicting mean temperature from CO, produces the following output table. Dependent variable is: Temperature R-squared = 33.1% Variable Coefficient Intercept 15.307 CO2 0.004 Print Done
Mean Temperature (°C)
The following scatterplot shows the mean annual carbon dioxide (CO,) in parts per million (ppm)
d) What is the meaning of the slope of this equation?
measured at the top of a mountain and the mean annual air temperature over both land and sea across
the globe, in degrees Celsius (C). Complete parts a through h on the right.
O A. For every degree that the mean temperature increases, CO, levels increase by 0.004 ppm.
16.800
O B. For every 0.004 ppm increase in CO, levels, the mean temperature increases by 1°C.
16.725
OC. For every 1 ppm increase in CO, levels, the mean temperature increases by 0.004°C.
16.650
O D. The slope does not have a meaningful interpretation in the context of this problem.
16.575
16.500
e) What is the meaning of the y-intercept of this equation?
337.5
CO, (ppm)
350.03
325.0
362.5
A. For every 1 ppm increase in CO, levels, the mean temperature increases by 0.004°C.
Click here to view the regression output.
O B. When the CO, level is 0 ppm, the global mean temperature will be 15.307°C.
Click here Lo View the residual plot
IO C. When the global mean temperature is 0°C, the CO, level is 15.307 ppm.
OD. The y-intercept does not have a meaningful interpretation in the context of this problem.
Transcribed Image Text:Mean Temperature (°C) The following scatterplot shows the mean annual carbon dioxide (CO,) in parts per million (ppm) d) What is the meaning of the slope of this equation? measured at the top of a mountain and the mean annual air temperature over both land and sea across the globe, in degrees Celsius (C). Complete parts a through h on the right. O A. For every degree that the mean temperature increases, CO, levels increase by 0.004 ppm. 16.800 O B. For every 0.004 ppm increase in CO, levels, the mean temperature increases by 1°C. 16.725 OC. For every 1 ppm increase in CO, levels, the mean temperature increases by 0.004°C. 16.650 O D. The slope does not have a meaningful interpretation in the context of this problem. 16.575 16.500 e) What is the meaning of the y-intercept of this equation? 337.5 CO, (ppm) 350.03 325.0 362.5 A. For every 1 ppm increase in CO, levels, the mean temperature increases by 0.004°C. Click here to view the regression output. O B. When the CO, level is 0 ppm, the global mean temperature will be 15.307°C. Click here Lo View the residual plot IO C. When the global mean temperature is 0°C, the CO, level is 15.307 ppm. OD. The y-intercept does not have a meaningful interpretation in the context of this problem.
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