Final Answer:
To minimize Mean Square Error, the appropriate option is D. Regression analysis.
Step-by-step explanation:
Random Selection: Ineffective as it lacks a systematic approach to minimize error.
Use the Mean: It minimizes error but might not be the best fit for all cases.
Trial and Error: Impractical and time-consuming, especially for large datasets.
Regression Analysis: Systematically analyzes relationships between variables, optimizing coefficients for minimum error, making it the most suitable method for minimizing Mean Square Error.