Connect Access Card For Managerial Accounting For Managers
Connect Access Card For Managerial Accounting For Managers
5th Edition
ISBN: 9781260480771
Author: Eric Noreen, Peter C. Brewer Professor, Ray H Garrison
Publisher: McGraw-Hill Education
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Chapter 2A, Problem 2A.2E

1.

To determine

Introduction:

Variable costs and Fixed costs:

Variable costs are those that increase or decrease with the general volume of work. Some of the examples of variable costs are sales commissions, labor costs, raw material costs, etc. Fixed costs are those costs that remain fixed irrespective of the volume of work. Some of the examples of fixed costs are office rent, administrative expenses, depreciation, etc.

Least square regression method:

The least-square regression method uses the regression line to classify the total cost into variable and fixed cost and thus minimizing the sum of squares of the errors and hence we can get the best line of fit with minimum variances. The least-square regression can be expressed as Y = a + bx

Where Y is Total cost

A is the total fixed cost

B is the variable cost

X is the activity level

To prepare: a scatter plot graph.

1.

Expert Solution
Check Mark

Answer to Problem 2A.2E

This is the scatterplot graph for the B rental car.

  Connect Access Card For Managerial Accounting For Managers, Chapter 2A, Problem 2A.2E

Explanation of Solution

According to the given information the rental returns and car wash costs of B rental cars have been given and we have to prepare a scatter graph plot where the car wash cost should be on the vertical axis and the rental returns on the horizontal axis. To prepare the scatter graph first we have to go to insert option and select scatter graph from charts. The next step is to enter the X values and Y values and then we will get the graph. Now we can add trend line and axis title by clicking on the + symbol next to the graph. After adding the trend line we can click on the arrow button next to the trend line and select more options and then in that we have to checkmark display equation and display R squared value on the chart. The following is the data for plotting the graph:

    Rental returnsCar wash costs ($)
    238010825
    242111865
    258611332
    272512422
    296813850
    328114419
    335314935
    348915738
    305713563
    287611889
    273512683
    298313796

2.

To determine

Introduction:

Variable costs are those that increase or decrease with the general volume of work. Some of the examples of variable costs are sales commissions, labor costs, raw material costs, etc. Fixed costs are those costs that remain fixed irrespective of the volume of work. Some of the examples of fixed costs are office rent, administrative expenses, depreciation, etc.

Least square regression method:

The least-square regression method uses the regression line to classify the total cost into variable and fixed cost and thus minimizing the sum of squares of the errors and hence we can get the best line of fit with minimum variances. The least-square regression can be expressed as Y = a + bx

Where Y is Total cost

A is the total fixed cost

B is the variable cost

X is the activity level

To calculate: the variable cost per rental return and the monthly fixed washing cars using least square regression method.

2.

Expert Solution
Check Mark

Answer to Problem 2A.2E

Thus, the variable cost per unit is $4.04 and the fixed cost per unit is $145583 for Bargain rental car.

Explanation of Solution

To calculate the variable cost per rental return and the monthly fixed washing cars using the least square regression method first we have to calculate the X, Y, X2 and XY. In the given data the rental return is taken as X and car wash costs is taken as Y, let us now calculate the X2 and XY:

    Months XYX2XY
    January238010825566440025763500
    February 242111865586124128725165
    March258611332668739629304552
    April272512422742562533849950
    May296813850880902441106800
    June3281144191076496147308739
    July3353149351124260950077055
    August3489157381217312154909882
    September305713563934524941462091
    October287611889827137634192764
    November273512683748022534688005
    December298313796889828941153468
    Total34854157317102623516462541971

Now let us calculate the variable cost using following formula:

Variable cost per unit

   = ( nXY  X×Y ) (n X 2 (X) 2 ) = ( 12×462541971 ( 34854×157317 ) ) ( 12×102623516   ( 34854 ) 2 ) = (55505036525483126718 (12314821921214801316= 67376934 / 16680876 = $4.04

Now, let us calculate the fixed cost per unit using following formula:

Fixed cost per unit

   = Y  ( variable cost per unit× X ) n   = 157317( 4.04×34854 ) 12   = 157317  11734.18 = $145583

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