The following scatterplot shows the mean annual carbon dioxide (CO2) in parts per million (ppm) 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) a) What is the correlation between CO2 and Temperature b) Explain the meaning of R squared in this context Dependent variable is Temperature R squaredequals 33 2 Variable Coefficient Intercept 15 305 CO2 0 004 c) Give the regression equation d) What is the meaning of the slope of this equation e) What is the meaning of the y intercept of this equation g) Suppose CO2 levels reach 363 ppm this year What mean temperature does the regression predict from this information 16 00 16 800 16 725 16 650 16 575 16 500 325 0 337 5 350 0 CO2 (ppm) Mean Temperature (C)

Question: The following scatterplot shows the mean annual carbon dioxide?(CO2) in parts per million? (ppm) measured at the top of a mountain and the mean annual

The following scatterplot shows the mean annual carbon dioxide?(CO2) in parts per million? (ppm) 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).

16.00 16.800 16.725 16.650 16.575 16.500 325.0 337.5 350.0 CO2 (ppm) Mean

a) What is the correlation between CO2 and? Temperature?

b) Explain the meaning of? R-squared in this context

Dependent variable? is: Temperature

?R-squaredequals= 33.2 %

Variable	Coefficient
Intercept	15.305
CO2	0.004

c) Give the regression equation

d) What is the meaning of the slope of this? equation?

?e) What is the meaning of the? y-intercept of this? equation?

Temperature (C)

g) Suppose CO2 levels reach 363 ppm this year. What mean temperature does the regression predict from this? information?

16.00 16.800 16.725 16.650 16.575 16.500 325.0 337.5 350.0 CO2 (ppm) Mean Temperature (C)

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