Explain the least squares algorithm. In your response, discuss what the least squares algorithm does, and why (under what conditions) this is a desirable approach to estimation.
a) The algorithm minimizes the sum of squared differences between observed and predicted values.
b) The algorithm maximizes the sum of squared differences between observed and predicted values.
c) The algorithm focuses on absolute differences between observed and predicted values.
d) The algorithm is unrelated to statistical estimation.