Write a linear equation in two variables to represent the situation and use it to make predictions about the distance traveled over various intervals of time.

If the association between X and Y is linear we can summarize the relationship with a line.

y = b₀ + b₁ x

y = b₀ + b₁ (intervals of time)

Step-by-step explanation:

Explanation : -

In regression analysis, the variable that we are trying to describe or predict defines the vertical y - axis and is called the response.

The associated variable goes on the horizontal x-axis and is called the

explanatory variable or predictor.

The explanatory variables are independent variables In regression analysis, The symbol 'Y' denotes the response and the symbol 'X' denotes the explanatory variable If the association between X and Y is linear we can summarize the relationship with a line

Given data The distance traveled is the response ('Y') and The various intervals of time is represents the predict (X) of regression line.

If the association between X and Y is linear we can summarize the relationship with a line.

y = b₀ + b₁ x

y = b₀ + b₁ (intervals of time)