Q. The slope coefficient of linear cost function is

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Q. The learning curve models include

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Q. For slope coefficient b, the value of the estimated coefficient is considered as

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Q. If the difference between costs linked to highest and lowest observation of cost driver is $27000 and observation of cost driver is 90 machine hours, then slope coefficient would be

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Q. The cause and effect relationship between activity and costs is the result of

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Q. If the difference in costs is $9000 and the difference in machine hours is $15000, then slope coefficient would be

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Q. To decide whether the cost is variable cost or fixed cost with respect to some specific activity depends upon

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Q. In a given scenario, if the cost is considered as indirect cost then independent variable will be considered as

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Q. The cost analysis method, which uses mathematical method to use fit between past data observations and cost functions is termed as

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Q. The third step in estimation of cost function, by using quantitative analysis is collection of data for

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Q. If the residual error is 51 and the predicted cost value is 37, then the observed cost value will be

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Q. In estimation of cost function, an example of independent variable is

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Q. In regression analysis, if an observed cost value is 65 and the disturbance error is 32 then predicted cost value will be

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Q. The formula of 1 - unexplained variation ⁄ total variation is used to calculate

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Q. The cause and effect relationship that exists between change in total cost level and change in level of activity, is measured with the help of

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Q. The cost that has elements of variable and fixed costs at the same time is

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Q. If an unexplained variation is 255050 and the total variation is 550505, then coefficient of determination will be

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Q. If the difference in costs is $32000 and the slope coefficient is 0.40, then difference in machine hours would be

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Q. In plotting of cost functions, the level of activities according to which the charged cost is represented on

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Q. The function used to measure decline in labor hours per unit as the units of production increases is called

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