Answer:
Explanation:
<u>Linear Modeling</u>
Models are an important part of the study of a variety of natural phenomena in a great number of fields like science, health, business, human behavior, economics, among many others.
Once a model is determined, it can be used to estimate future values of important variables which in turn can help people to make decisions.
It has been determined a model that relates the amount of term life insurance a family of four should have with the current age of the head of the household. That model is
we are required to estimate the amount of term life insurance to recommend to a family of four when the head of the household is x=41 years old. Let's plug in the given value in the equation
Answer:
a.
Oct 1 Cash $240 Dr
Unearned Subscription Revenue $240 Cr
b.
Dec 31 Unearned Subscription Revenue $60 Dr
Subscription Revenue $60 Cr
Explanation:
a.
The receipt of $240 upfront in advance from a customer is a liability for the business as the business has received cash for service that is yet to be provided. The business will record this as a debit to the cash account and credit to a liability account of Unearned Service Revenue.
b.
On 31 december, the business has provided magazines for 3 months thus it has earned revenue for 3 months. The revenue for 3 months is,
Revenue per month = 240 / 12 = 20
For 3 months = 20*3 = 60
The business will record this as a credit to the subscription revenue and a debit to the unearned subscription revenue
Answer:
The closing balance from the excel sheet is $5,000.00
Explanation:
Solution
Given that:
The loan balance required l for each month can be computed as follows:
The loan balance = additional cash needed – cash used to retire debt + loan balance from previous month
Now
By applying the excel formula to perform this task is stated as follows:
D34 = SUM(D31-D33,C34)
The same formula is used to get the values for E34 to I34.
Kindly find an attached copy of the updated excel sheet after applying above formula which is a part of the solution is as follows:
