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: $1,203.49
Explanation:
The equal contributions will be an annuity. The $3,500 already there will also grow at 6% for 3 years. Expression is;
8,000 = ( 3,500 * ( 1 + 6%)^3) + Contribution * Future value interest factor of annuity, 3 years, 6%
8,000 = 4,168.56 + Contribution * 3.1836
Contribution = (8,000 - 4,168.56) / 3.1836
Contribution = $1,203.49
Answer:
He may still be covered in some cases.
He faces more risk than insured people do.
He may have to take precautions but many factors are beyond his control.
Not being able to afford insurance was a factor in him not being covered.
Explanation:
I got it correct
Answer:
lack of anonymity
Explanation:
According to my research on whistle-blowing systems within organizations, I can say that based on the information provided within the question the major issue that the program seems to have is a lack of anonymity. All whistle-blower systems are designed to be completely anonymous so that anyone who uses the system to do the right thing and report people who are breaking the law or rules are not mentioned and face backlash from co-workers. Apparently, the system that Company X is either not anonymous or is not adhering to the anonymity policy.
I hope this answered your question. If you have any more questions feel free to ask away at Brainly.
Answer:
Larger-sq and small Se.
Explanation:
Regression line is a line that clearly describes the behavior of a given set of data.
Regression lines are very essential for forecasting processes. The importance of the line is to describe the interrelation of a dependent variable (Y variable) with one or many independent variables (X variable).
An analyst can forecast future behaviors of the dependent variable by making use of the equation gotten the regression line. This is done by inputting different values for the independent ones. Regression lines are frequently employed in the financial sector.
Financial analysts make use of linear regressions to forecast stock prices, commodity prices and also to carry out valuations for many different securities. Companies use regressions for the purpose of forecasting sales, inventories and a lot of other variables that are needed for strategy and planning. The regression line formula is represented below:
(Y = a + bX + u)