Determine The Effect Of Adult Smokers In The State Of Kansas

Submitted By lesia77
Words: 1316
Pages: 6
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In this project, for the regression analysis, it will cover the topic of cancer death rates in the state of Kansas. The purpose of this study is to help determine the effect of adult smokers in the K.S. (SMOKERS) on the cancer death rate in the U.S. (CDEATH), while holding constant the effects of the amount of obese adults (OBESITY), unemployment rate (UNEMPLOY) and the amount of Americans that consume fruits and vegetables (NUTRITION).
CDEATH = OBESITY + SMOKERS + UNEMPLOY + NUTRITION
The dependent variable (CDEATH) is based on the statistic of the number of cancer deaths per 100,000 populations.
State the correlation:
“The dependent variable CDEATH is determined by independent variables OBESITY, SMOKERS, UNEMPLOY, and NUTRITION.
Identify the primary independent variable:
The most important independent variable in this relationship is SMOKERS because smoking has been widely believed to be a direct result of lung cancer in the U.S. According to The University of Texas MD Anderson Cancer Center, “smoking is responsible for 87% of all lung cancer cases and 30% of all cancer cases” (The University of Texas MD Anderson Cancer Center).

Dependant
Primary Independent
Independent
Independent
Independent

Scale - Monthly

1 January 2013 5430
484000
212000 198363 28740
2
December 2012
4340
457800
265000
197960
32740
3
November 2012
4800
535000
178000
198038
30740
4
October 2012
4800
487600
199320
201759
29835
5
September 2012
6239
430000
212000
202996
26420
6
August 2012
3700
455000
278223
208189
19858
7
July 2012
4800
587502
232578
210779
8750
8
June 2012
5986
478523
178542
209763
7375
9
May 2012
8750
572360
285000
209426
3275
10
April 2012
2254
487650
178500
208582
8788
11
March 2012
12500
652450
178562
210980
6589
12
February 2012
3854
432000
212500
214086
7856
13
January 2012
12547
484520
325000
218456
13245
14
December 2011
3857
486522
273500
227657
11022
15
November 2011
8575
458750
214850
233810
13856
16
October 2011
12578
785625
198520
243770
14785
17
September 2011
4325
857452
232585
251060
1245
18
August 2011
3256
785690
235650
256812
26420
19
July 2011
8756
758463
212578
258185
6895
20
June 2011
6587
896524
312542
259469
6523
21
May 2011
4856
455252
138550
259134
6235
22
April 2011
6589
485875
217800
259863
3278
23
March 2011
1254
478526
178560
263034
4578
24
February 2010
6750
658743
185265
267296
6578
25
January 2010
2258
748520
179580
288776
4586
26
December 2009
3458
875625
149856
288609
7965
27
November 2009
6528
625785
168750
288607
7589
28
October 2009
8758
985725
187542
290677
8754
29
September 2009
1254
825342
201325
292186
18210
30
August 2009
9875
545785
312523
294707
7568
31
July 2009
6589
368952
226542
295260
3258
32
June 2009
2713
654238
214785
294993
2487
33
May 2009
6784
725842
212580
292871
1982
34
April 2009 6985
678525
323420 288092
1875

There are 4 chosen independent variables that could affect the outcome of the dependent variable, they consist of adult overweight/obesity rate, smoking adults, unemployment rates and fruit and vegetable consumption.
Adult obesity (OBESITY) could prove to be a significant variable in correlation with cancer deaths due to unhealthy practices. According to the National Cancer Institute, obesity has been directly linked to some certain types of cancer. “One study, using NCI Surveillance, Epidemiology, and End Results (SEER) data, estimated that in 2010 in the United States, about 34,000 new cases of cancer in men (4 percent) and 50,500 in women (7 percent) were due to obesity” (National Cancer Institute at the National Institutes of Health). I expect this to be an important factor but not the most significant. The relationship between OBESITY and CDEATH should be
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