It contains data on the number of iron workers in the United…

_KULogo.jpg Assignment Remember to show all work. Open the PDF located below. It contains data on the number of iron workers in the United States for the years 1978 through 2008 provided by the U.S. Bureau of Labor Statistics. Using regression techniques discussed in this section, analyze the data for trend. Develop a scatter plot of the data and fit the trend line through the data. Discuss the strength of the model. The following data on the number of iron workers in the United States for the years 1978 through 2008 are provided by the U.S. Bureau of Labor Statistics. Using regression techniques discussed in this section, analyze the data for trend. Develop a scatter plot of the data and fit the trend line through the data. Discuss the strength of the model. Year Union members (1000’s) 1978 17,340 1979 16,996 1980 16.975 1981 16.913 1982 17,002 1983 16,960 1984 16,740 1985 16.568 1986 16,390 1987 16,598 1988 16,748 1989 16,360 1990 16.269 1991 16,110 1992 16,211 1993 16,477 1994 16,334 1995 16,305 1996 16,145 1997 15,776 1998 15,472 1999 16,685 2000 15,359 2001 16,670 2002 16,098 2003 16,212 2004 16,316 2005 16,718 2006 16,707 2007 16,113 2008 15,128 Remember to show all work.

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Assignment

Remember to show all work.

Open the PDF located below. It contains data on the number of iron workers in the United States for the years
1978 through 2008 provided by the U.S. Bureau of Labor Statistics. Using regression techniques discussed in
this section, analyze the data for trend. Develop a scatter plot of the data and fit the trend line through
the data. Discuss the strength of the model.

The following data on the number of iron workers in the United States for the years 1978 through 2008 are
provided by the U.S. Bureau of Labor Statistics. Using regression techniques discussed in this section, analyze
the data for trend. Develop a scatter plot of the data and fit the trend line through the data. Discuss the strength
of the model.

Year

Union members

(1000’s)

1978

17,340

1979

16,996

1980

16.975

1981

16.913

1982

17,002

1983

16,960

1984

16,740

1985

16.568

1986

16,390

1987

16,598

1988

16,748

1989

16,360

1990

16.269

1991

16,110

1992

16,211

1993

16,477

1994

16,334

1995

16,305

1996

16,145

1997

15,776

1998

15,472

1999

16,685

2000

15,359

2001

16,670

2002

16,098

2003

16,212

2004

16,316

2005

16,718

2006

16,707

2007

16,113

2008

15,128

Remember to show all work.

Attachments:

Time-series-f….txt