The answer is "$2.473".

Here's why:

1. In regression analysis, the constant (also known as the y-intercept) is the value of the dependent variable when all independent variables are zero. In the context of cost analysis, this typically represents the fixed costs.

2. The coefficient of the independent variable (X coefficient) represents the change in the dependent variable for each unit change in the independent variable. In cost analysis, this typically represents the variable cost per unit.

3. The r2 value (0.8924 in this case) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. It does not represent the variable cost per unit.

4. The standard error of the coefficient(s) (0.0966 in this case) is a measure of the accuracy of predictions made with a regression line. It also does not represent the variable cost per unit.

Therefore, in this case, the variable cost per unit is $2.473.

Question

The answer is "$2.473".

Here's why:

1. In regression analysis, the constant (also known as the y-intercept) is the value of the dependent variable when all independent variables are zero. In the context of cost analysis, this typically represents the fixed costs.

2. The coefficient of the independent variable (X coefficient) represents the change in the dependent variable for each unit change in the independent variable. In cost analysis, this typically represents the variable cost per unit.

3. The r2 value (0.8924 in this case) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. It does not represent the variable cost per unit.

4. The standard error of the coefficient(s) (0.0966 in this case) is a measure of the accuracy of predictions made with a regression line. It also does not represent the variable cost per unit.

Therefore, in this case, the variable cost per unit is $2.473.

Knowee AI · Accepted Answer

The answer is "$2.473".

Here's why:

1. In regression analysis, the constant (also known as the y-intercept) is the value of the dependent variable when all independent variables are zero. In the context of cost analysis, this typically represents the fixed costs.

2. The coefficient of the independent variable (X coefficient) represents the change in the dependent variable for each unit change in the independent variable. In cost analysis, this typically represents the variable cost per unit.

3. The r2 value (0.8924 in this case) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. It does not represent the variable cost per unit.

4. The standard error of the coefficient(s) (0.0966 in this case) is a measure of the accuracy of predictions made with a regression line. It also does not represent the variable cost per unit.

Therefore, in this case, the variable cost per unit is $2.473.

Melbourne Company used regression analysis to obtain the following output:Constant$7,540r20.8924Number of observations/units20X coefficient(s)$2.473Standard error of coefficient(s)0.0966 The variable cost per unit is:Group of answer choices$.8924$2.473$.0966$7,540

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