Answer:
The answer is"continuous quantity" i.e "Regression problems aid in predicting continuous quantity outputs".
Explanation:
Regression is a form of predictive modeling which is a way of mapping a function from input variables to a continuous output variable referred to as function approximation. A regression problem often require the prediction of a quantity,this can be real valued or discrete input variables.
Answer:
continuous quantity
Explanation:
Regression problems aid in predicting continuous quantity outputs. A regression problem is when the output variable is a real or continuous value, such as salary or weight and linear models can be employed in solving them.
