Chapter 6. Linear Regression Analysis
In the Visualization techniques for continuous variable data section of Chapter 3, Data Visualization, we saw different data visualization techniques that help in understanding data variables (boxplot and histograms) and their interrelationships (matrix of scatter plots).
We saw in Example 4.6.1. Resistant line for the IO-CPU time, an illustration of the resistant line, where CPU_Time depends linearly on the No_of_IO variable. The pair function's output in Example 3.2.9. Octane rating of gasoline blends indicated that the mileage of a car has strong correlations with the engine-related characteristics, such as displacement, horsepower, torque, the number of transmission speeds, and the type of transmission ...
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