Question: In order to complete this problem set, it is helpful to refer to Chapters 1 through 4 in Stock and Watson. This assignment is due
In order to complete this problem set, it is helpful to refer to Chapters 1 through 4 in Stock and Watson. This assignment is due at the beginning of class on Tuesday.
1. In EViews, estimate a linear regression equation using the El Paso vehicle registration and population data from the problem set data workbook. Note that the dependent variable is the number of registered vehicles and population is the explanatory variable. Be sure to interpret the results you obtain.
| El Paso | El Paso | |
| County | County | |
| Registered | Population | |
| Vehicles, 1000s | 1000s | |
| Year | CARS | POP |
| 1969 | 182.025 | 364.022 |
| 1970 | 181.883 | 360.462 |
| 1971 | 203.869 | 369.189 |
| 1972 | 212.266 | 378.364 |
| 1973 | 225.501 | 398.203 |
| 1974 | 235.533 | 411.532 |
| 1975 | 274.781 | 427.292 |
| 1976 | 262.130 | 440.333 |
| 1977 | 270.361 | 450.007 |
| 1978 | 282.738 | 460.611 |
| 1979 | 296.099 | 472.343 |
| 1980 | 309.533 | 483.711 |
| 1981 | 290.775 | 497.523 |
| 1982 | 298.800 | 511.892 |
| 1983 | 309.533 | 521.038 |
| 1984 | 328.549 | 529.668 |
| 1985 | 344.199 | 538.809 |
| 1986 | 341.486 | 549.592 |
| 1987 | 344.099 | 559.479 |
| 1988 | 351.540 | 568.804 |
| 1989 | 357.254 | 580.982 |
| 1990 | 356.312 | 595.350 |
| 1991 | 362.404 | 608.206 |
| 1992 | 341.702 | 619.138 |
| 1993 | 347.386 | 634.044 |
| 1994 | 366.326 | 646.181 |
| 1995 | 369.504 | 654.250 |
| 1996 | 396.920 | 656.482 |
| 1997 | 400.611 | 665.066 |
| 1998 | 429.326 | 671.250 |
| 1999 | 443.443 | 675.397 |
| 2000 | 445.849 | 681.729 |
| 2001 | 457.576 | 689.163 |
| 2002 | 477.725 | 696.446 |
| 2003 | 501.426 | 705.200 |
| 2004 | 505.459 | 717.652 |
| 2005 | 533.438 | 728.095 |
| 2006 | 562.591 | 744.795 |
| 2007 | 575.054 | 755.578 |
| 2008 | 567.693 | 769.930 |
| 2009 | 570.744 | 786.759 |
| 2010 | 589.193 | 803.548 |
| 2011 | 597.092 | 819.796 |
| 2012 | 615.285 | 832.118 |
| 2013 | 626.930 | 830.585 |
| 2014 | 641.825 | 833.370 |
| 2015 | 657.944 | 831.382 |
| 2016 | 660.861 | 834.112 |
| 2017 | 671.024 | 836.087 |
| 2018 | 670.643 | 835.590 |
| 2019 | 674.628 | 837.501 |
| 2020 | 670.804 | 865.984 |
| 2021 | 685.900 | 867.947 |
2. Use the regression output to test a null hypothesis that population has no effect on the number of cars registered in El Paso County. Be sure to state the null and alternative hypotheses.
3. Also in EViews, plot a scatter diagram that includes registered vehicles on the vertical axis and population on the horizontal axis. Briefly discuss any information that can be discerned from the graph.
4. Answer Problem 3.5 on Page 90 of Stock and Watson.
5. As the data above indicate, population growth usually leads to more vehicle registrations.
Forecast the number of registered vehicles in El Paso if the population increases to 875 thousand.
When population increased in 2020, did El Paso County vehicle registrations also increase?
Based on real world conditions, explain why this may have occurred.
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