a) interpret the scatter plot. Give a reasonable estimate for the linear correlation r.
b) use technology to find the equation of the least squares regression line describing the relationship between Year (t) and Global Temperature (G). Around to 0.0001.
c) Plot the regression line on the scatterplot below. Clearly label three points including (t,G) on the LSRL.
d) Clearly interpret the slope, intercept, and R^2 of the linear model on the context of the problem statement. Report with proper units.
-slope:
-intercept:
-R^2:
e) use the model to predict the Global Temperature in the year 2030.
f) compute and mark the residual for the data point (2016, 14.80 degrees C) circled on the scatterplot.
Data attached below
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