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1. Since the t-statistic is less than 2, the busy season ________ total production costs. multiple choice 1 does impact does not impact 2. Using

1. Since the t-statistic is less than 2, the busy season ________ total production costs.

multiple choice 1

  • does impact

  • does not impact

2. Using the regression analysis including busy season, what are the variable costs per unit of production for Thrustmaster?

multiple choice 2

  • 10.646

  • 10.456

  • 10.569

  • 5.325

3. Using the regression analysis including busy season, what are the fixed costs of production for Thrustmaster?

multiple choice 3

  • Cannot be determined

  • $23,328.72

  • $22,728.72

  • $23,228.72

4. Based on the results of the cost behavior analysis, which would best characterize the production costing for Thrustmaster?

multiple choice 4

  • Variable costs

  • Mixed costs

  • Fixed costs

5. If the monthly production is 5,200 units (using the regression results including, fixed, variable and busy season), what is the estimated weekly production costs for Thrustmaster when it is not busy season?

multiple choice 5

  • $78,384

  • $80,696

  • $79,284

  • $78,285

image text in transcribed

AutoSave OFF HE S58 Lab 8-3 Alt Data (1) Home Insert Draw Draw Page Layout Formulas Data Review View Tell me Share Comments L! Connections AL Clear Eo OV 21 - 0 ? Properties Reapply Refresh All Sort Stocks Geogra... Filter From HTML From New Database Text Query Consolidate ]] Solver na Text to Columns Edit Links Group Ungroup Subtotal Flash Remove Data Fill Duplicates Validation - Advanced What If Analysis Analysis Data Tools Analysis J15 fx J K L M N 0 P 0 R S T U V A B D E F G H 1 1 SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0.78332989 5 R Square 0.61360572 6 Adjusted R S 0.59783452 7 Standard Err 9581.89502 8 Observations 52 9 10 ANOVA 11 df SS MS F Significance F 12 Regression 2 7144265807 3572132904 38.90673544 7.6252E-11 13 Residual 49 4498822898 91812712.2 14 Total 51 1.1643E+10 15 16 Coefficients tandard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 17 Intercept 19389.8757 8037.88336 2.41231115 0.0196409 3237.1443 35542.607 3237.1443 35542.607 18 Production 11.3763084 1.29114633 8.81101401 1.12973E-11 8.78165268 13.970964 8.78165268 13.970964 19 Busy 0 0 65535 #NUMI 0 0 0 0 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 Sheet2 Sheet3 Sheet4 Sheet1 + Calculate A + 100% AutoSave OFF HE S58 Lab 8-3 Alt Data (1) Home Insert Draw Draw Page Layout Formulas Data Review View Tell me Share Comments L! Connections AL Clear Eo OV 21 - 0 ? Properties Reapply Refresh All Sort Stocks Geogra... Filter From HTML From New Database Text Query Consolidate ]] Solver na Text to Columns Edit Links Group Ungroup Subtotal Flash Remove Data Fill Duplicates Validation - Advanced What If Analysis Analysis Data Tools Analysis J15 fx J K L M N 0 P 0 R S T U V A B D E F G H 1 1 SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0.78332989 5 R Square 0.61360572 6 Adjusted R S 0.59783452 7 Standard Err 9581.89502 8 Observations 52 9 10 ANOVA 11 df SS MS F Significance F 12 Regression 2 7144265807 3572132904 38.90673544 7.6252E-11 13 Residual 49 4498822898 91812712.2 14 Total 51 1.1643E+10 15 16 Coefficients tandard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 17 Intercept 19389.8757 8037.88336 2.41231115 0.0196409 3237.1443 35542.607 3237.1443 35542.607 18 Production 11.3763084 1.29114633 8.81101401 1.12973E-11 8.78165268 13.970964 8.78165268 13.970964 19 Busy 0 0 65535 #NUMI 0 0 0 0 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 Sheet2 Sheet3 Sheet4 Sheet1 + Calculate A + 100%

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