Q. The second step for estimation of cost function by using quantitative analysis is to

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Q. An estimation of relationship between one independent variable and the dependent variable is known as

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Q. The goodness of fit predicted values is also known as

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Q. The factor used to predict the dependent variable is named as

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Q. In regression analysis, if the observed cost value is 62 and predicted cost value is 29, then the disturbance term would be

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Q. An amount by which the total cost changes with respect to the change in level of activity is classified as

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Q. An assumption of specification analysis states: any observation does not belong to any other observation's residual value, is classified as

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Q. The most frequently used methods of quantitative analysis include

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Q. If the residual error is 25 and the predicted cost value is 50, then the observed cost value would be

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Q. In multicollinearity, the correlation coefficient between two independent variables must be greater than

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Q. If the coefficients are similar for two accounting periods, then single cost relationship is estimated with the help of

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Q. The relationship between independent variable and dependent variable must be

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Q. In adjustment issues of costing, the database must contain reliable measure of

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Q. If the difference in costs is $7000 and the difference in machine hours of is $18000, then slope coefficient would be

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Q. In adjustment issues and data collection, the inflation affects the

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Q. The higher level of production leads to

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Q. The method of estimation of cost function, by making the opinions and analysis about cost and cost drivers is classified as

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Q. Within the relevant range, the cost function in which cost does not change in narrow ranges of activity is called

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Q. In the linear cost function which is y=a + bx, the objective is to find the

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Q. The statistical method used to measure average change in dependent variable, with respect to change of one unit in independent variable is called

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