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MAVERICK [17]
3 years ago
5

This element must be in a shape of a square set at a point and include a black hazard symbol on a white background with a red fr

ame sufficiently wide enough to be clearly visible. What is being referenced?
Business
1 answer:
Pepsi [2]3 years ago
3 0
A hazard pictogram is being referenced. It must meet these requirements in order to deliver a clear, warning message.
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A long-term liability should be reported as a current liability in a classified balance sheet if the long-term debt: Is callable
Eddi Din [679]

Answer:

A long-term liability should be reported as a current liability in a classified balance sheet if the long-term debt: Is callable by the creditor - Will be refinanced with stock.

Option A is the correct answer.

Explanation:  

Generally, a short term liability is required to be paid by the company within a period of 1 year. Nevertheless, if the liability is callable the creditor, the company is not required to pay the liability within a year.

Thus, in this instance, a current liability can be detailed as a long term debt in the balance sheet.

6 0
3 years ago
Cadence calls are critical to a functioning CPFR relationship.
Andreas93 [3]

Answer:Cadence calls often occur at a set time each week or month

Explanation:

It's a follow up call or activities on customers who have shown interest in the firm products either on advertised platforms or other channels.

5 0
3 years ago
Bramble Corp. factors $7200000 of its accounts receivables with recourse for a finance charge of 5%. The finance company retains
saul85 [17]

Answer:

See below

Explanation:

Given the above information, first we'll compute net proceeds

Cash received $7,200,000 × 86%

$6,192,000

Add:

Due from factors $7,200,000 × 9%

$648,000

Less;

Recourse obligation

($5,000)

Net proceeds

$6,835,000

5 0
3 years ago
According to recent data, obese patients are less likely than nonobese patients to obtain preventive health services and exams,
Blizzard [7]

The statements that are true based on the obese pations are statements 1 and 2. Henvce Both the first and second statements are true.. Option 2

<h3>What is meant by obesity?</h3>

The delay in receiving medical care has a positive relationship with BMI. 12.7% of participants said they have postponed or cancelled a doctor's appointment because of weight issues.

An important component of treating obesity is increasing physical activity or exercise: Exercise. For those who are obese, 150 minutes a week of moderate-intensity exercise is required to either maintain current weight loss or to stop further weight gain.

Weight gain that is abnormal or excessive and poses a risk to health is what is meant by the terms "overweight" and "obesity." Overweight is defined as a body mass index (BMI) of 25, and obesity as a BMI of greater than 30. Obesity in the United States has dramatically increased in prevalence over the past few decades, leading to a huge public health concern.

Read more on obesity here: brainly.com/question/1646944

#SPJ1

6 0
1 year ago
Which of the following is true about multicollinearity?
Komok [63]

Answer:

d. It is best measured using the statistic variance inflation factor (VIF).

Explanation:

Multicollinearity is an important issue in multiple regression model, having many independent/ explanatory variables. Multicollinearity is the situation in which two or more independent variables are highly correlated. It is problematic because it increases the standard error of independent variable coefficient & undermines its statistical significance

Variance Inflation Factor [VIF] is a check & corrective measure of multicollinearity.  

  • VIF as a multicollinearity check : It quantifies the correlation between one explanatory variable with other explanatory variables.VIF = 1 implies there is no multicollinearity (correlation between independent variables); VIF upto 5  implies there is moderate multicollinearity (correlation between independent variables). VIF > 5 implies high multicollinearity (correlation between independent variables)
  • VIF as a multicollinearity correction : Calculating  Var (\beta j ) = σ^2 / [TSS j (1 - R^2j)] ; where TSS = total sum of square of variable j , σ^2 =  j variance, R^2 j = R^2 from regressing all other independent variable on variable j
3 0
3 years ago
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