To linearize an R vs θ graph, one can approximate the function using a linear equation in a small domain around a specific point, utilizing the slope derived from derivatives. While the overall function is not linear, it can be approximated locally, and the accuracy of this approximation can be assessed using Taylor Series. Alternatively, defining a domain with a set number of points allows for linear regression to find the best linear fit. The graph typically follows a sine function, with some initial outlier points that deviate from a straight line. Understanding these methods can help in effectively linearizing the graph for analysis.