A company would like to estimate its total cost equation usingcustomer records.  The company has randomly sampled 28customer records. Each customer record contains a Customer #, theOrder Size, and the Total Cost of the Order.  The analystremembers from accounting and economics classes taken in collegethat
TOTAL COST = Fixed Costs + Variable Cost per Unit *OrderSize.
The analysis sees that this is a linear relationship where theTOTAL COST depends on the Fixed Costs, which do not depend on ordersize, and a variable cost per unit, which is multiplied by theOrder Size.  The analysis decides to use simple linearregression to estimate the firm’s Total Costfunction.  Use the data file, Estimating aTotal Cost Regression Model.xlsx to answer thefollowing questions
- Develop a 95% confidence interval for the true average unitvariable cost. (Look at the regression output produced by Excel forpart b.)
- What percent of the variation in monthly total costs is“explained†by the regression model with monthly production outputas the explanatory variable? (Look at the regression outputproduced by Excel for part )
- Suppose the plant manager is interested in estimating themean total costs for several months whereoutput is 30,000 units (i.e., Xp = 30) each month. Develop a 95%confidence interval for the mean total costs for months thataverage 30,000 units of output.
Customer # | Order Size (Quantity) | Total Cost of Order |
10211 | 28 | 1631 |
10212 | 31 | 1923 |
10213 | 43 | 2070 |
10214 | 47 | 2392 |
10215 | 32 | 1886 |
10216 | 43 | 2307 |
10217 | 25 | 1486 |
10218 | 46 | 2448 |
10219 | 41 | 2210 |
10220 | 48 | 2401 |
10221 | 29 | 1860 |
10222 | 32 | 1786 |
10223 | 49 | 2485 |
10224 | 44 | 2203 |
10225 | 33 | 1855 |
10226 | 46 | 2380 |
10227 | 42 | 2102 |
10228 | 31 | 1683 |
10229 | 30 | 1706 |
10230 | 35 | 1955 |
10231 | 34 | 1992 |
10232 | 33 | 1926 |
10233 | 27 | 1852 |
10234 | 32 | 1807 |
10235 | 31 | 1880 |
10236 | 42 | 2134 |
10237 | 39 | 1979 |
10238 | 36 | 1882 |