Run the Multiple Linear Regression using Fatalities as the dependent variable and Licensed drivers, registered vehicles, and GDP per capita as independent variables. Submit Excel File Calculate the following: a- Interpret the R-square b-Find the equation of the fitted line c- Which variable has the strongest relationship with number of fatalities? d- Identify which variables are significant/non-significant using alpha = 0.05? Fatalities Licensed Drivers Registered Vehicles GDP per Capita (measured) 953 3999057 5300199 40598 80 536033 803684 71996 1010 5284970 5806313 43464 516 2145334 2817145 38919 3563 27039400 31022328 68970 632 4244713 5356018 59885 294 2605612 2879802 68555 111 786504 1008468 64895 31 527731 351933 176498 3133 15368695 17496002 43423 1504 7168733 8512550 50288 117 948417 1267385 58185 231 1252535 1879670 40189 1031 8714788 10588910 60419 858 4589405 6190736 49209 318 2260271 3691892 54520 404 2149430 2684010 53094 724 3032530 4368285 41898 768 3425435 3885119 50938 137 1040582 1125588 42925 501 4407973 4204846 61042 360 4944666 5061499 73321 974 7153645 8380387 47072 381 3391057 5404277 59510 664 2058036 2067498 34434 921 4272960 5498675 46507 182 806204 1845338 43509 230 1420317 1961309 59178 330 1983453 2514338 49361 147 1161665 1346318 55905 564 6342876 6055389 62385 391 1458433 1824217 44671 943 12194360 11482229 73463 1437 7509231 8210213 47896 105 561333 899953 69563 1068 8032665 10913773 51790 655 2504253 3699022 49840 506 2930702 3942875 51677 1190 8991370 10727715 55580 59 756966 872344 50718 1037 3846069 4457519 40755 130 638428 1269415 52696 1041 5422429 5770874 47810 3642 17370383 22186241 59674 260 2030644 2372800 50236 68 564892 619694 47502 820 5929031 7604646 56002 546 5909967 7152413 67901 294 1136774.765 1693719 39584 588 4288171 5683061 51883 111 419256 837024 65843
Run the Multiple Linear Regression using Fatalities as the dependent variable and Licensed drivers, registered vehicles, and GDP per capita as independent variables. Submit Excel File Calculate the following: a- Interpret the R-square b-Find the equation of the fitted line c- Which variable has the strongest relationship with number of fatalities? d- Identify which variables are significant/non-significant using alpha = 0.05? Fatalities Licensed Drivers Registered Vehicles GDP per Capita (measured) 953 3999057 5300199 40598 80 536033 803684 71996 1010 5284970 5806313 43464 516 2145334 2817145 38919 3563 27039400 31022328 68970 632 4244713 5356018 59885 294 2605612 2879802 68555 111 786504 1008468 64895 31 527731 351933 176498 3133 15368695 17496002 43423 1504 7168733 8512550 50288 117 948417 1267385 58185 231 1252535 1879670 40189 1031 8714788 10588910 60419 858 4589405 6190736 49209 318 2260271 3691892 54520 404 2149430 2684010 53094 724 3032530 4368285 41898 768 3425435 3885119 50938 137 1040582 1125588 42925 501 4407973 4204846 61042 360 4944666 5061499 73321 974 7153645 8380387 47072 381 3391057 5404277 59510 664 2058036 2067498 34434 921 4272960 5498675 46507 182 806204 1845338 43509 230 1420317 1961309 59178 330 1983453 2514338 49361 147 1161665 1346318 55905 564 6342876 6055389 62385 391 1458433 1824217 44671 943 12194360 11482229 73463 1437 7509231 8210213 47896 105 561333 899953 69563 1068 8032665 10913773 51790 655 2504253 3699022 49840 506 2930702 3942875 51677 1190 8991370 10727715 55580 59 756966 872344 50718 1037 3846069 4457519 40755 130 638428 1269415 52696 1041 5422429 5770874 47810 3642 17370383 22186241 59674 260 2030644 2372800 50236 68 564892 619694 47502 820 5929031 7604646 56002 546 5909967 7152413 67901 294 1136774.765 1693719 39584 588 4288171 5683061 51883 111 419256 837024 65843
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
Related questions
Question
Run the Multiple Linear Regression using Fatalities as the dependent
variable and Licensed drivers, registered vehicles, andGDP per capita as independent
variables. Submit Excel File
Calculate the following:
a- Interpret the R-square
b-Find the equation of the fitted line
c- Which variable has the strongest relationship with number of fatalities?
d- Identify which variables are significant/non-significant using alpha = 0.05?
variable and Licensed drivers, registered vehicles, and
variables. Submit Excel File
Calculate the following:
a- Interpret the R-square
b-Find the equation of the fitted line
c- Which variable has the strongest relationship with number of fatalities?
d- Identify which variables are significant/non-significant using alpha = 0.05?
Fatalities | Licensed Drivers | Registered Vehicles | GDP per Capita (measured) |
953 | 3999057 | 5300199 | 40598 |
80 | 536033 | 803684 | 71996 |
1010 | 5284970 | 5806313 | 43464 |
516 | 2145334 | 2817145 | 38919 |
3563 | 27039400 | 31022328 | 68970 |
632 | 4244713 | 5356018 | 59885 |
294 | 2605612 | 2879802 | 68555 |
111 | 786504 | 1008468 | 64895 |
31 | 527731 | 351933 | 176498 |
3133 | 15368695 | 17496002 | 43423 |
1504 | 7168733 | 8512550 | 50288 |
117 | 948417 | 1267385 | 58185 |
231 | 1252535 | 1879670 | 40189 |
1031 | 8714788 | 10588910 | 60419 |
858 | 4589405 | 6190736 | 49209 |
318 | 2260271 | 3691892 | 54520 |
404 | 2149430 | 2684010 | 53094 |
724 | 3032530 | 4368285 | 41898 |
768 | 3425435 | 3885119 | 50938 |
137 | 1040582 | 1125588 | 42925 |
501 | 4407973 | 4204846 | 61042 |
360 | 4944666 | 5061499 | 73321 |
974 | 7153645 | 8380387 | 47072 |
381 | 3391057 | 5404277 | 59510 |
664 | 2058036 | 2067498 | 34434 |
921 | 4272960 | 5498675 | 46507 |
182 | 806204 | 1845338 | 43509 |
230 | 1420317 | 1961309 | 59178 |
330 | 1983453 | 2514338 | 49361 |
147 | 1161665 | 1346318 | 55905 |
564 | 6342876 | 6055389 | 62385 |
391 | 1458433 | 1824217 | 44671 |
943 | 12194360 | 11482229 | 73463 |
1437 | 7509231 | 8210213 | 47896 |
105 | 561333 | 899953 | 69563 |
1068 | 8032665 | 10913773 | 51790 |
655 | 2504253 | 3699022 | 49840 |
506 | 2930702 | 3942875 | 51677 |
1190 | 8991370 | 10727715 | 55580 |
59 | 756966 | 872344 |
50718
|
1037 | 3846069 | 4457519 | 40755 |
130 | 638428 | 1269415 | 52696 |
1041 | 5422429 | 5770874 | 47810 |
3642 | 17370383 | 22186241 | 59674 |
260 | 2030644 | 2372800 | 50236 |
68 | 564892 | 619694 | 47502 |
820 | 5929031 | 7604646 | 56002 |
546 | 5909967 | 7152413 | 67901 |
294 | 1136774.765 | 1693719 | 39584 |
588 | 4288171 | 5683061 | 51883 |
111 | 419256 | 837024 | 65843 |
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