The earth's climate is getting warmer. The most common theory attributes the increase to an increase in
Question:
A regression predicting Temperature from CO2 produces the following output table (in part):
Dependent variable is Global Temperature (°C)
R-squared = 73.6%
Variable Coefficient
Intercept ........................................... 10.64
CO2 (ppm)....................................... 0.0103
a) What is the correlation between CO2 and Temperature!
b) Explain the meaning of R-squared in this context.
c) Give the regression equation.
d) What is the meaning of the slope in this equation?
e) What is the meaning of the y-intercept of this equation?
f) Here is a scatterplot of the residuals vs. predicted values. Does this plot show evidence of the violation of any assumptions behind the regression? If so, which ones?
g) CO2 levels will probably reach 400 ppm by 2020. What mean Temperature does the regression predict for that concentration of CO2?
h) Does the answer in g) mean that when the CO2 level hits 400 ppm, the Temperature will reach the predicted level? Explain briefly.
Step by Step Answer:
Stats Data And Models
ISBN: 662
4th Edition
Authors: Richard D. De Veaux, Paul D. Velleman, David E. Bock