Answer:
D. The registered representative should decline the transaction
Explanation:
Based on the information provided within the question it can be said that the representative should decline the transaction. When dealing with money and financial accounts the representative that will handle these types of transactions needs to sit down with the owner and new recipient of the account as well as see identification from both and have them sign authorization paperwork. These are safety measures in place so that a stranger isn't able to just call and take ownership of an account.
Answer:
Explanation:
There are many things in life that will seem overwhelming due to the how large and complex all of the data may be. The best way to get through these moments is to divide the task into smaller parts and sit down and dedicate time to it. For such a textbook divide the total amount of pages and read a little bit at a time, take breaks, reflect on what you have read, answer practice questions, and continue to the next group of pages. You will see after getting started that it is not as overwhelming anymore.
Credits.... is suitable ..hope it helped
Answer:
50,000 pounds of chicken meat
Explanation:
If 10,000 packages of chicken sausages were produced, the estimated amount of chicken meat and machine hours would equal:
- chicken meat = 10,000 packages times 5 pounds per package = 50,000 pounds of chicken meat
- machine hours = 10,000 packages times 2 hours per package = 20,000 machine hours
Answer:
False. See expplanation below.
Explanation:
Training error by definition is the "error that you get when you run the trained model back on the training data."
False
Sometimes if we have more predictors than the neccesary we create bias and other problems like multicolinearity between the independnet variables. The idea is have a parsimonious model with the ideal number of variables and not with too much or too low variables.
For example we can have a linear model with just one predictor adjusted to the response variable perfect. And we can have another model with the same response variable but with 10 predictors with the same correlation and significance.
Always is important to understand the context of a problem in order to select the predictors to estimate the response variable in order to don't overestimate the number of parameters neccesary to use.
