Give an example of regression and correlation from the field of Agriculture.

Regression

First, regression is fitting a model to data to make predictions. Example: forming an equation from known data on house sales (selling price, how many bedrooms, etc.) to predict selling price of future sales in the same area.

Colleration

For example, a correlation of r = 0.8 indicates a positive and strong association among two variables, while a correlation of r = -0.3 shows a negative and weak association. A correlation near to zero shows the non-existence of linear association among two continuous variables

the answer to the question is "five to eight weeks after the test date"