Problem
With the use of Python or more specifically, Jupyter Notebook, I have to determine:
1. If the variables have a strong linear correlation with CO or NOx.
2. The correlation between CO (carbon monoxide) and the variables TAT, CDP, and TEY. (This is the most crucial)
Find out the:
a) R2 (for training and testing data), coefficient, intercept, and MSE values
b) What does the R2 values tell us?
c) What does the plot of predicted vs. actual plot tell us?
d) What is the linear equation in predicting the target variable?
e) Show the plot of the predicted vs. actual values and its corresponding regression line.
Show screenshots of your results. Note that the target variable is either CO or NOx.
Variable Notation:
AT - ambient temperature (oC)
AP - ambient pressure (mbar)
AH - ambient humidity (%)
AFDP - Air filter difference pressure (mbar)
GTEP - Gas turbine exhaust pressure (mbar)
TIT - Turbine inlet temperature (oC)
TAT - Turbine after temperature (oC)
CDP - Compressor discharge pressure (mbar)
TEY - Turbine Energy Yield.