Answer:
def calculate_pay(total_worked_hours, rate_per_hour):
if total_worked_hours > 40:
return (40 * rate_per_hour) + ((total_worked_hours - 40) * 2 * rate_per_hour)
else:
return total_worked_hours * rate_per_hour
Explanation:
- Create the calculate_pay function that takes 2 parameters.
- Inside the function check whether the total_worked_hours is greater than 40 and then return the pay by calculating with the help of formula for work over 40 hours.
- Otherwise return the pay by multiplying the total_worked_hours with rate_per_hour.
Answer:
This is a multicolinearity problem and the student should determine the variable(s) that cause(s) the problem and remove it.
Explanation:
This information means that there exists a linear combination between the independent variables. The problem might have developed due to multicolinearity producing almost perfectly linearly dependent columns.
This could also be as a results of single matrix created when the student use an incorrect indicator variables and included an additional indicator column which created linearly dependent columns.
The column names and data types.
Answer:
The design model is the description of the model to be implemented, the analysis model is the model that links the design and the system or domain model while the domain model is the entire software implementation.
Explanation:
The domain model is the conceptual aspect of software engineering that comprises operational and data features. The analysis model is the schematic description of the system that links the design model to the system domain. The design model is also known as the object model as it shows an abstract representation of the implementation. It helps to test the quality of the software been developed.
