Page 150 - Data Science Algorithms in a Week

Regression

model = lm(celsius ~ fahrenheit, data = temperatures)
print(model)

Output:

$ Rscript fahrenheit_celsius.r
Call:
lm(formula = celsius ~ fahrenheit, data = temperatures)
Coefficients: (Intercept) fahrenheit
-17.7778 0.5556
Therefore, we can see the following approximate linear dependence relation between C
(degrees Celsius) and F (degrees Fahrenheit):

C=fahrenheit*F+Intercept=0.5556*F-17.7778

Note that this agrees with our previous calculation.

Visualization:
We display the linear model predicting degrees Celsius from degrees Fahrenheit
underneath by a linear line. Its meaning is that the point (F,C) is on the green line if and
only if F (degrees Fahrenheit) converts to C (degrees Celsius) and vice versa:

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