The sales arrangement when a seller allows a buyer thirty to sixty days to pay for a purchase is known as Trade credit
A trade credit is an arrangement that exists between buyers and sellers with respect to exchange of goods and services.
In trade credit, the supplier allows the buyer purchase on credit and pay later usually between 30, 60 or 90 days.
Hence, trade credit is where a seller allows a buyer thirty to sixty days to pay for a purchase.
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Answer:
$18.4
Explanation:
Data provided in the question:
Maximum value on which there is no tax = $500
Tax paid on the portion of the total value in excess of $500 = 8% = 0.08
Total value of the goods imported by the returning tourist = $730
Now,
The excess amount of portion on which the tax will be charged
= Total value of the goods imported - Maximum value on which there is no tax
= $730 - $500
= $230
Therefore,
@8% tax rate
Total tax that must be paid on excess portion i.e $230
= $230 × 8%
= $230 × 0.08
= $18.4
Answer:
A. <u><em>They request a bank loan.
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D. <u><em>They agree to sell stocks.
</em></u>
E. <u><em>They issue bonds.
</em></u>
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Explanation:
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The sign of each coefficient indicates the direction of the relationship between a predictor variable and the response variable. A positive sign indicates that as the predictor variable increases, the response variable also increases.
What do the estimates of the regression coefficients tell us?
You may determine if each independent variable and the dependent variable have a positive or negative association by looking at the sign of a regression coefficient. A positive coefficient means that the mean of the dependent variable tends to rise when the value of the independent variable rises.
What is predictor and response variable in regression?
The risk factors and confounders are referred to as the predictors, or explanatory or independent variables, whereas the outcome variable is also known as the response or dependent variable. The independent variables are designated by "X" while the dependent variable is denoted by "Y" in regression analysis.
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It is log-linear which is the best fit to the data?
