Question
The data to the left is from an operation where it is showing labor hours and machine hours (independent variables) and resulting overhead cost in
The data to the left is from an operation where it is showing labor hours and machine hours (independent variables) and resulting overhead cost in dollars (dependent variable). The data is for 52 weeks of operation. Run a multiple regression analysis to determine if there is a linear relationship between overhead dollars to labor hours and machine hours. Answer the following questions. Use excel to conduct the regression analysis.
PLEASE PROVIDE STEP BY STEP AND EXCEL COMMANDS FOR A BETTER UNDERSTANDNG.
THANKS
a. What is the Coefficient of Determination from the regression results?
b. What is the linear equation for determining over head dollars?
c. What would be the value of overhead for 520 labor hours and 335 machine hours
d. Provide an ANOVA table for the regression model
e. is there a relationship between the independent and dependent variables. Test at alpha equal to .05?
f. Conduct a utility test at the alpha equal .05 level to determine if the labor hours variable contributes to model relationship. Does the labor hours variable contribute to the relationship of x and y? Why or why not?
g. Conduct a utility test at the alpha equal .05 level to determine if the machine hours variable contributes to model relationship. Does the machine hours variable contribute to the relationship of x and y? Why or why not?
h. Conduct a utility test at the alpha equal .05 level to determine if the intercept constant contributes to model relationship. Does the intercept constant contribute to the relationship? Why or why not?
Week | Overhead ($) | LaborHrs | MachineHrs |
1 | 53421 | 695 | 239 |
2 | 44167 | 531 | 173 |
3 | 60085 | 839 | 329 |
4 | 55181 | 379 | 335 |
5 | 44484 | 602 | 152 |
6 | 68154 | 807 | 365 |
7 | 49415 | 515 | 276 |
8 | 63090 | 851 | 314 |
9 | 55935 | 774 | 289 |
10 | 56159 | 766 | 140 |
11 | 51862 | 537 | 311 |
12 | 54799 | 642 | 215 |
13 | 42067 | 434 | 199 |
14 | 49108 | 741 | 143 |
15 | 55467 | 995 | 144 |
16 | 53907 | 675 | 245 |
17 | 64376 | 935 | 261 |
18 | 48639 | 638 | 232 |
19 | 77800 | 1128 | 361 |
20 | 54077 | 744 | 191 |
21 | 29521 | 180 | 172 |
22 | 43676 | 188 | 254 |
23 | 51639 | 755 | 187 |
24 | 57315 | 1014 | 244 |
25 | 35410 | 371 | 181 |
26 | 59348 | 758 | 280 |
27 | 47437 | 662 | 185 |
28 | 49433 | 721 | 172 |
29 | 55003 | 811 | 229 |
30 | 57783 | 944 | 176 |
31 | 57084 | 1184 | 159 |
32 | 69759 | 1024 | 290 |
33 | 51315 | 772 | 162 |
34 | 52124 | 635 | 244 |
35 | 62643 | 630 | 286 |
36 | 48950 | 417 | 246 |
37 | 54092 | 665 | 257 |
38 | 58513 | 682 | 286 |
39 | 57237 | 1046 | 228 |
40 | 56184 | 887 | 194 |
41 | 65824 | 706 | 437 |
42 | 44095 | 520 | 204 |
43 | 55454 | 813 | 261 |
44 | 36927 | 387 | 179 |
45 | 48322 | 444 | 265 |
46 | 39093 | 725 | 144 |
47 | 58789 | 875 | 223 |
48 | 70844 | 1026 | 372 |
49 | 38749 | 407 | 199 |
50 | 60821 | 815 | 256 |
51 | 65585 | 706 | 372 |
52 | 77651 | 1231 | 338 |
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