would you please answer ASAP. Thank you.

AverageCost MaterialCost LaborHours 29.28 1.186294 0.450 48.43 2.616747 0.533 46.33 1.730625 0.517 46.27 2.989890 0.567 49.99 3.897590 0.583 43.39 3.049710 0.317 33.59 1.216800 0.483 24.44 2.482172 0.483 31.94 1.137780 0.217 38.39 2.358730 0.483 51.22 2.106489 0.383 53.65 2.371071 0.583 38.02 1.479600 0.283 42.41 2.207875 0.433 25.69 1.042625 0.283 40.48 4.476780 0.583 31.62 1.278820 0.350 46.09 2.683835 0.533 40.86 1.739556 0.283 47.18 3.006366 0.600 41.91 1.751680 0.517 52.93 1.824724 0.483 39.86 3.164976 0.533 37.01 1.202366 0.300 36.88 2.659335 0.317 44.90 2.306335 0.533 39.71 1.464238 0.400 49.66 2.073786 0.517 42.23 2.305264 0.500 45.45 2.088528 0.433 53.68 3.281226 0.583 43.56 3.203334 0.500 35.96 2.405248 0.367 33.00 2.256852 0.233 38.81 2.762331 0.333 35.55 3.376101 0.367 38.54 2.350420 0.383 46.94 2.094015 0.750 29.77 1.046976 0.283 48.97 1.920568 0.583

Homework: Chapter 23 Save Score: 1.38 of 6 pts 4 of 11 (11 complete) v HW Score: 39.24%, 25.51 of 65 pts x 23.1.40-T Tutoring Question Help A manufacturer produces custom metal blanks that are used by its customers for computer-aided machining. The accompanying data were sampled from the accounting records of 40 orders filled during the previous three months. Formulate the regression model with y as the average dollar cost per unit, X, as the material cost per unit, and x2 as the labor hours per unit. Complete parts (a) through (f) below. Click the icon to view the data table. (b) Assuming that a multiple regression is appropriate, fit the indicated multiple regression. Show a summary of the fitted model. The fit has R = 0.28 and se = $ 6.72. (Round to two decimal places as needed.) Complete the table below. (Round the coefficient and standard error of the Intercept and Material terms to two decimal places. Round the coefficient and standard error of the Labor term to one decimal place. Round all test statistics to two decimal places. Round all probabilities to three decimal places.) Term Estimate Std Error t-statistic p-value Intercept 21.51 4.13 5.21 0.000 Material cost 1.72 1.14 1.51 0.140 Labor hours 26.1 9.2 2.84 0.007