Q. If the difference in costs is $16000 and the slope coefficient is 0.40, then difference in machine hours would be

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Q. In the linear cost function, which is y = a + bx, the 'y' is classified as

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Q. In the specification analysis, the assumptions related to linearity states but linearity must be within

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Q. In regression analysis, if the predicted cost value is 65 and observed cost value is 19 then the disturbance term will be

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Q. In adjustment issues of costing, the database must consider wide range values of

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Q. The method, which considers the cost and cost drivers of departments such as employee relations and process engineering is termed as

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Q. The examples of nonlinear cost functions are

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Q. If the residual error is 35 and the predicted cost value is 20, then the observed cost value will be

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Q. In Regression Analysis, if an observed cost value is 85 and the disturbance error is 25 then predicted cost value will be

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Q. The relationship between cost and cost driver is economically plausible if the goodness of fit

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Q. The situation in which two or more independent variables are highly correlated is known as

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Q. The first step in estimation of cost function by using quantitative analysis is to

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Q. If an unexplained variation is 350050 and the total variation is 700505, then coefficient of determination would be

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Q. Considering the relationship of variables, the relationship in which the activity cost is included in the dependent variable, which has similar cost driver is classified as

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Q. The method which considers the lowest and highest values of cost driver and cost within relevant range is called

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Q. The vertical dashed line in graphical representation of cost function represents the

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Q. In dependent variable cost pool, the relationship between individual cost items and cost drivers can be classified as

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Q. The value, which measures that how large is the value of standard error in relevance to value of estimated coefficient, is termed as

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Q. The chances of cost to be considered as variable are more, if the

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