Answer:
$961.54
Explanation:
To calculate the real price of the TV you would have to determine the present value of the TV's price. The future price of the TV is $1,000 and your discount rate is 4% annual (the same as your bank), so the present value of the TV =
present value = future value / (1 + rate) = $1,000 / 1.04 = $961.54
Answer and Explanation:
Simply enough, the IRS comes for you and charges a failure to pay penalty. The penalty is 0.5% of your previous unpaid taxes for every month. So if you wouldn't want to lose more money, I'd suggest you pay your taxes.
Answer:
Ans. He must save during each of the following 10 years, at the end of each year $32,452.
Explanation:
Hi, in order to find the amount of money that he should have in ten years so he can receive an annual payment of $65,156 for 25 more years (24 payments), we need to bring to present value all 24 payments to year 10. Let me show you the formula.
Where:
A= $65,156
n= 24
r= 0.08
Therefore the present value in year 10 is:
So that is our present value in year 10, or to put it in other words, our future value (if we look at it from year 0). Now we need to find the annuity (amount to save) that with account for $686,012, plus that $100,000 that he already has saved.
Every should look like this.
And we solve this equation for "A".
Best of luck.
Answer:
buying a franchise of a well-established restaurant.
Explanation:
A franchise business model is a business arrangement where the owner or 'franchisor' sells the rights of a business to ' franchisee' who operates an independent outlet. The rights that a franchisee acquires include business name, logo, business and operating models. Examples of known franchises are MacDonald, subway, and Starbucks.
The biggest advantage Eduardo will gain by purchasing a franchise is that he will get instant access to a well-established brand name. Eduardo does not need to spend resources on creating a name, or products to introduce to customers. An established franchise will provide him with customers, a management model, and a chance to succeed.
The statement in the question is True.
<u>Explanation:</u>
In statistics, the residual sum of squares (RSS), otherwise called the sum of squared residuals (SSR) or the total of squared estimate of errors (SSE), is the aggregate of the squares of residuals (deviations anticipated from real observational estimations of information). It is a proportion of the error between the information and an estimation model.
A little RSS demonstrates a tight attack of the model to the information. It is utilized as an optimality standard in parameter determination and model choice.
