Year Years.since.1985 Fires
Acres Acres/Fire
2015 32 68151
10125149 148.56934
2014 31 63312
3595613 56.791967
2013 30 47579
4319546 90.786818
2012 29 67774
9326238 137.6079
2011 28 74126
8711367 117.52107
2010 27 71971
3422724 47.556988
2009 26 78792
5921786 75.157199
2008 25 78979
5292468 67.011079
2007 24 85705
9328045 108.83898
2006 23 96385
9873745 102.44068
2005 22 66753
8689389 130.17226
2004 21 65461
8097880 123.70541
2003 20 63629
3960842 62.249006
2002 19 73457
7184712 97.808405
2001 18 84079
3570911 42.470902
2000 17 92250
7393493 80.146266
1999 16 92487
5626093 60.831176
1998 15 81043
1329704 16.407389
1997 14 66196
2856959 43.159088
1996 13 96363
6065998 62.949452
1995 12 82234
1840546 22.381813
1994 11 79107
4073579 51.494545
1993 10 58810
1797574 30.565788
1992 9 87394
2069929 23.685024
1991 8 75754
2953578 38.98907
1990 7 66481
4621621 69.517922
1989 6 48949
1827310 37.330895
1988 5 72750
5009290 68.85622
1987 4 71300
2447296 34.323927
1986 3 85907
2719162 31.652392
1985 2 82591
2896147 35.066133
A. Check the assumptions for Inference. Use any output you feel is appropriate to substantiate your conclusions.
B. Construct a hypothesis test at the 95% level of confidence to answer this question: Is there a correlation between Acres/Fire and Years Since 1985?
C. Construct a 95% Confidence Interval for the slope and interpret it.
here only part B is complete and answerable question, please find
(B) correlation between Acres/Fire and Years Since 1985=r=0.6742 ( using ms-excel function=correl())
we use t-test with
null hypothesis H0:=0 and
alternate hypothesis Ha:0 (this is two tailed test)
the statistic t =r/sqrt[(1—r2)/(n—2)]=0.6742/sqrt((1-0.6742*0.6742)/(31-2))=4.916 with n-2=31-2=29 df
the two-tailed critical t(0.05/2,29)=2.045 is less than calculated/observed t=4.916, so we reject H0 and conclude that there is linear relationship between Acres/Fire and Years Since 1985
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