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 is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
In this case, the amount of crop growth depends on the level of rainfall.
By using Linear Regression, we can predict crop growth for given rainfall levels by fitting a line through data points.
Classification is used for assigning data into categories, which is not the goal here.
Clustering groups data points based on similarity but does not measure the direct relationship between variables.
Decision Trees can model relationships but Linear Regression is the standard and simplest method for examining and predicting continuous relationships like rainfall and crop yield.
Hence, Linear Regression is the most suitable choice.