5. Perform a least-squares regression analysis on Leslie's data. 6. Using the regression output, create a linear equation (y = a+ bx) for estimating Leslie's operating costs. 7. Using the least-squares regression results, calculate the store's expected operating cost if it prints 600 jerseys.

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Chapter2: Introduction To Spreadsheet Modeling
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I need sub part 6 and 7 answered please

### Leslie’s Operating Information for the Last Year

#### Monthly Data on Jerseys Printed and Operating Costs

| **Month**     | **Number of Jerseys Printed** | **Operating Cost** |
|---------------|-------------------------------|--------------------|
| January       | 200                           | $5,735             |
| February      | 225                           | $5,830             |
| March         | 575                           | $8,690             |
| April         | 680                           | $9,800             |
| May           | 625                           | $9,275             |
| June          | 410                           | $6,230             |
| July          | 390                           | $6,140             |
| August        | 230                           | $5,940             |
| September     | 180                           | $4,810             |
| October       | 305                           | $6,005             |
| November      | 235                           | $5,960             |
| December      | 190                           | $4,955             |

#### Required Calculations

3. **High-Low Method for Fixed and Variable Costs:**  
   Calculate the store’s total fixed operating costs and variable operating cost per jersey using the high-low method.

4. **High-Low Method for Expected Costs (455 Jerseys):**  
   Calculate the store’s expected operating cost if 455 jerseys are printed, using the high-low method results.

5. **Least-Squares Regression Analysis:**  
   Perform a least-squares regression analysis on Leslie’s data to determine the relationship between the number of jerseys printed and operating costs.

6. **Regression Output - Linear Equation:**  
   Using the regression output, create a linear equation \( y = a + bx \), where \( y \) is the total operating cost and \( x \) is the number of jerseys printed, for estimating Leslie’s operating costs. Round your answers to 2 decimal places.

7. **Least-Squares Regression for Expected Costs (600 Jerseys):**  
   Using the least-squares regression results, calculate the store’s expected operating cost if it prints 600 jerseys.

#### Instructions

- Enter your answers for each required calculation in the tabs provided below.
- Ensure to round your answers appropriately as specified in the instructions.

These calculations will assist in understanding cost behaviors and making informed operational decisions at Leslie's store.
Transcribed Image Text:### Leslie’s Operating Information for the Last Year #### Monthly Data on Jerseys Printed and Operating Costs | **Month** | **Number of Jerseys Printed** | **Operating Cost** | |---------------|-------------------------------|--------------------| | January | 200 | $5,735 | | February | 225 | $5,830 | | March | 575 | $8,690 | | April | 680 | $9,800 | | May | 625 | $9,275 | | June | 410 | $6,230 | | July | 390 | $6,140 | | August | 230 | $5,940 | | September | 180 | $4,810 | | October | 305 | $6,005 | | November | 235 | $5,960 | | December | 190 | $4,955 | #### Required Calculations 3. **High-Low Method for Fixed and Variable Costs:** Calculate the store’s total fixed operating costs and variable operating cost per jersey using the high-low method. 4. **High-Low Method for Expected Costs (455 Jerseys):** Calculate the store’s expected operating cost if 455 jerseys are printed, using the high-low method results. 5. **Least-Squares Regression Analysis:** Perform a least-squares regression analysis on Leslie’s data to determine the relationship between the number of jerseys printed and operating costs. 6. **Regression Output - Linear Equation:** Using the regression output, create a linear equation \( y = a + bx \), where \( y \) is the total operating cost and \( x \) is the number of jerseys printed, for estimating Leslie’s operating costs. Round your answers to 2 decimal places. 7. **Least-Squares Regression for Expected Costs (600 Jerseys):** Using the least-squares regression results, calculate the store’s expected operating cost if it prints 600 jerseys. #### Instructions - Enter your answers for each required calculation in the tabs provided below. - Ensure to round your answers appropriately as specified in the instructions. These calculations will assist in understanding cost behaviors and making informed operational decisions at Leslie's store.
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