Based on the regression model, what is the best estimate of paint sales (x 1,000 gallons) in a sales region where promotional expenditures are $120,000and the selling price is $9.50? 259.251 230.513 204.114 When promotional expenditures are $80,000 and the selling price is $9.50, the point price elasticity is and the point promotional price elasticity is
Percentage
A percentage is a number indicated as a fraction of 100. It is a dimensionless number often expressed using the symbol %.
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In mathematics, an algebraic expression consists of constant(s), variable(s), and mathematical operators. It is made up of terms.
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Numbers are some measures used for counting. They can be compared one with another to know its position in the number line and determine which one is greater or lesser than the other.
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Before we begin to understand the subtraction of algebraic expressions, we need to list out a few things that form the basis of algebra.
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Before we begin to understand the addition of algebraic expressions, we need to list out a few things that form the basis of algebra.
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
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