Respuesta :
Answer:
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)
