Answer:
informative advertising :)
Explanation:
Heinz had to "inform" its customers about ketchup and how it's used
Answer:
False
Explanation:
The government sector derives its main incomes from taxes.
<span>When a company is using double-entry accounting, the elements of a given ledger that must be equal are the debit and the credit. They should reflect the balance of the books. There should be an equal amount in the debit column and in the credit column.</span>
Answer:
I used to know this one, so I'm going off of memory and process of elimination.
I'd say it's your financial plan.
A financial plan assesses the ability of the customer to be able to pay back the loan, which is very important to the bank. It also assesses the assets of your business. It's basically showing the bank, how likely is it that we will get our money back from you?
Explanation:
An income statement is improbable because it applies to a company, and typically if you're getting a loan to start a business, you have no income yet.
The bank won't worry about your partnership agreement because that's not related to the fact that you are asking for money to fund your business, they just care that they'll get it back.
A guarantee of success doesn't make sense either because the bank is doesn't need to know if your business will succeed or not, they just want to make sure they get the money they asked for returned at the right date.
The correct choice from the given options is "It is a problem that arises when an economic variable that affects other variables is omitted from an analysis and its omission leads to false conclusions about cause and effect."
The term omitted variable alludes to any factor excluded as a independent variable in the relapse that may impact the dependent variable. The omitted variable inclination is a typical and major issue in relapse investigation. By and large, the issue emerges in the event that one doesn't think about every single significant variable in a relapse. For this situation, one abuses the primary suspicion of the supposition of the classical linear regression model.