Related Mcqs:

1. The goodness of fit is used to measure the wellness of ________?

   A. actual values
   B. predicted values
   C. residual values
   D. indexed values

2. The relationship between cost and cost driver is economically plausible if the goodness of fit _________?

   A. has meaning
   B. has no meaning
   C. has index values
   D. has no index values

3. In accounting, the cost which is predicted to be incurred or future cost is known as ________?

   A. past cost
   B. incurred cost
   C. actual cost
   D. budgeted cost

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

   A. 110
   B. 125
   C. 60
   D. 70

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

   A. 14
   B. 88
   C. 24
   D. 68

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

   A. 95
   B. 50
   C. 120
   D. 100

7. The worse fit between estimated cost and actual observations is shown on regression line with ___________?

   A. larger residual terms
   B. zero residual terms
   C. variable residual terms
   D. smaller residual terms

8. The better fit between estimated cost and actual observations is represented by ___________?

   A. variable residual terms
   B. smaller residual terms
   C. larger residual terms
   D. zero residual terms

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

   A. quantitative analysis method
   B. qualitative analysis method
   C. account analysis method
   D. conference analysis method

10. An estimated coefficient, which indicates the degree by which the estimated values are affected by random factors is known as ___________?

    A. standard error of estimated coefficient
    B. weighted error of estimated coefficient
    C. average of estimated coefficient
    D. variance of estimated coefficient