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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution