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.
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.
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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I need sub part 6 and 7 answered please

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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