C. expected profit margins
the mission statement provides information about the company as to who, why and how they plan to operate
Answer:
$2,385,086
Explanation:
To answer this question, we need to use the present value of an ordinary annuity formula:
Where:
- A = Value of the annuity
- i = interest rate
- n = number of compounding periods
Because the interest rate is annual, it is convenient to convert it to a monthly rate.
4.5% annual rate = 0.37% monthly rate.
The number of compounding periods will be = 12 months x 30 years
= 360 months
Now, we simply plug the amounts into the formula:
You will need to have saved $2,385,086 if you plan to retire under the aforementioned circumstances.
Answer: Logistic regression
Explanation:
The type of model that the student group can utilize to analyze which features are important for explaining whether someone opens a promotional email is the logistic regression.
Logistic regression is the regression analysis that's used to conduct in a case whereby the dependent variable is binary.
With regards to the question, the logistic regression can provide the best model which will be used to forecast the most important features for the opening of the promotional e-mail.
Answer:
Question 1)
Decrease in money supply = Decrease in checking account / Required reserves ratio
Decrease in money supply = $25,000 / 0.05
Decrease in money supply = $500,000
NOTE: As per Answering Policy, first question is answered.
Explanation:
Question 1)
Decrease in money supply = Decrease in checking account / Required reserves ratio
Decrease in money supply = $25,000 / 0.05
Decrease in money supply = $500,000
NOTE: As per Answering Policy, first question is answered.
Answer:
Answer is the one which produces values which compare well with actual values based on a standard measure of error.
Explanation:
Exponential smoothing is one means of preparing short-term sales forecasts on a routine basis. To use exponential smoothing, however, one must decide the proper values for the smoothing constants in the forecasting model. One method for selecting the smoothing constants involves conducting a grid search to evaluate a wide range of possible values.
Exponential smoothing forecasting methods use constants that assign weights to current demand and previous forecasts to arrive at new forecasts. Their values influence the responsiveness of forecasts to actual demand and hence influence forecast error. Considerable effort has focused on finding the appropriate values to use.
One approach is to use smoothing constants that minimize some function of forecast error. Thus, in order to select the right constants for forecasting, different values are tried out on past time series, and the ones that minimize an error function like Mean Absolute Deviation (MAD) or Mean Squared Error (MSE) are the ones used for forecasting
