Reflect on similar situations in which you could apply this same technique (multiple linear regression) to generate knowledge from data. Briefly de...

Reflect on similar situations in which you could apply this same technique (multiple linear regression) to generate knowledge from data. Briefly describe one of these situations that you thought of, identify each of the input variables and the response variable, describe the type of each one (whether quantitative or qualitative) and provide their units of measurement (if quantitative) or their levels or classes (if qualitative).

Analyzing similar situations, we could use as an example, generation of construction and demolition waste on the construction site according to the type of project and its construction.
In this case, the response variable Y will be the amount of construction and demolition waste generated in m³ (cubic meters).
We can consider 5 variables with the following classifications and units of measurement:
x1, quantitative, where we consider the total area built in m² (square meters);
x2, quantitative, where we count the number of floors/stories (units).
x3, quantitative, where we consider the density of the walls kg/m³ (kilogram per cubic meter).
x4, qualitative, considering the organization and cleanliness of the site, which we can put a classification from 1 to 5 (1-does not meet, 2-partially meets, 3-meets, 4-exceeds and 5-exceeds).
x5, qualitative, where we can classify the waste according to its reuse (given by the reuse of waste, with class (1-reusable and 0-non-reusable).