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SAS coding Fit an OLS regression model to these data. a. Analyze the residuals and comment on model adequacy. b. Fit the lagged variables regression

SAS coding

Fit an OLS regression model to these data.

a. Analyze the residuals and comment on model adequacy.

b. Fit the lagged variables regression models shown in Eqs. (3.119) and (3.120) to these data. How do these models compare with the OLS model in part a?

Table B.20 US Internal Revenue Tax Refunds
Source: US Department of Energy - Internal Revenue Service, SOI Tax Stats - Individual Time Series Statistical Tables, http://www.irs.gov/taxstats/indtaxstats/article/0,,id=96679,00.html
Fiscal Year Amount Refunded, millions dollars National Population, thousands
1987 96,969 242,289
1988 94,480 244,499
1989 93,613 246,819
1990 99,656 249,464
1991 104,380 252,153
1992 113,108 255,030
1993 93,580 257,783
1994 96,980 260,327
1995 108,035 262,803
1996 132,710 265,229
1997 142,599 267,784
1998 153,828 270,248
1999 185,282 272,691
2000 195,751 282,193
2001 252,787 285,108
2002 257,644 287,985
2003 296,064 290,850
2004 270,893 293,657
2005 255,439 296,410
2006 263,501 299,103

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