Question

Which type of analysis is suitable for examining the relationship between rainfall and crop growth and the amount of crop growth for a certain level of rainfall?

• A. Classification
• B. Clustering
• C. Linear Regression
• D. Decision Tree

Hint:

Use Linear Regression when you need to predict a continuous value based on another variable.

Answer 1

The Correct Option is C

Linear Regression statistically models the relationship between a dependent variable and independent variables. In this context, crop growth (dependent) is modeled against rainfall level (independent). By fitting a line to data points, Linear Regression allows prediction of crop growth for specific rainfall amounts. Classification, which assigns data to categories, is not applicable. Clustering groups similar data points without measuring direct variable relationships. While Decision Trees can model relationships, Linear Regression is the standard and simplest method for continuous relationships like rainfall and crop yield. Therefore, Linear Regression is the most appropriate method.