Mini Project 1 PDF

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Mini Project 1...

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1. Research Question: What is the relationship between Islanders forced expiratory volume (how much air they can exhale during a forced breath) and age? 2. Data: Village

House

Name

Nelson Kiyobico Hofn Hofn

116 20 214 17

Bjurholm

11

Bjurholm

193

Akkeshi

85

Akkeshi Akkeshi Maeva Biruwa Biruwa

51 1 49 3 32

Hofn

550

Kiyobico

48

Kiyobico

14

Arcadia Takazaki

9 7

Takazaki Takazaki Takazaki

9 9 7

Talu Talu Talu Talu Talu Talu

337 312 44 585 407 548

ALINA BAGER ANIKA BAGER ASTRID LUND ASUKA EDWARDS AXEL BLOMGREN AYAKA EDWARDS BRENDA SOLBERG CHLOE HARDY DAHL CARLSEN DAIKI HALL DEAN WILSON DR DANE ERICKSON DR ILLONA SORENSEN DR RYOUTA CONNOLLY DR SIMON BLOMGREN DYLAN BROWN ELEANOR SUZUKI ELIN SORENSEN ERIKA BAGER EVAN MCCARTHY EVAN SUZUKI GERDA CARLSEN HAROLD THORN HARVEY PAGE HENRIK EKLUND HINA MCCARTHY

Gender Forced Expiratory Volume (Spirometer) F 3.92 F 4.67 F 4.33 F 2.88

Age

Swim

84 30 26 64

N N N N

M

5.72

60

N

F

3.77

44

Y

F

5.64

42

N

F F M M M

4.67 5.05 4.03 5.66 5.4

35 36 62 34 78

N Y N Y N

F

3.57

70

N

M

4.4

61

Y

F

5.72

58

N

F F

4.52 4.87

72 36

N Y

F F M

4.79 3.5 6.33

52 62 40

N N N

M F M M M F

5.8 3.49 5.81 5.63 5.31 4.02

28 71 47 56 63 64

N N N Y N N

Talu

6

Talu

36

Eden Eden Eden

28 593 696

Vaiku Vaiku Vaiku

30 68 117

Vaiku

141

Vaiku Vaiku Colmar Arcadia Biruwa Colmar

177 326 31 72 93 199

Colmar Colmar Colmar

299 400 503

Pauma

131

Colmar Colmar Colmar Colmar

720 883 1228 1409

Akkeshi Valais Pauma Akkeshi Akkeshi Akkeshi

2 98 224 23 51 155

Hayarano Hayarano Vaiku

180 682 11

ILLONA SOLBERG ISABELLA MORRIS JACOB YAMADA JAMES JACKSON JASMIN BLOMGREN JUN WILSON KARI JENSEN KATE MCCARTHY KERSTIN SORENSEN KIRK LUND LEA EKLUND LEAH PRICE LEIF SORENSEN LEON SIMON MAGNAR CARLSEN MAYA SATO MICHAEL MOORE MITSUKI CONNOLLY NICHOLAS MORRIS OLIVIA JACKSON ORIEL SIMON PATRICE PAGE RAGNAR EKLUND RAGNAR JENSEN REN SUZUKI RIKU MORRIS ROBERT SATO RYAN COLLINS SAKURA CONNOLLY SEVERIN PAGE SHIORI WILSON SHO BROWN

F

5.53

43

Y

F

4.52

61

N

M M F

6.1 4.77 3.39

42 53 59

Y N Y

M F F

4.36 3.33 4.08

62 62 31

N N Y

F

4.88

39

N

M F F M M M

4.86 3.5 4.73 5 4.5 4.87

68 62 30 47 86 56

N N N N N N

F M F

3.95 5.82 3.24

59 49 78

N N N

M

5.38

38

N

M M F M

3.39 5.36 3.44 6.22

58 37 89 33

Y Y N N

M M M M M F

4.66 6.05 5.39 4.91 7.66 5.6

59 32 60 69 30 31

N N N N Y N

M F M

3.71 5.34 5.45

84 29 43

N N N

Biruwa

73

Maeva

158

SOPHIE CONNOLLY VIGGO JENSEN

F

3.96

38

N

M

4.52

72

N

3.

Direction – negative Outliers – one at (7.66, 30) Trend – weak linear trend Strength – weak 4. Fitted line plot, R-squared, and Equation

Regression Equation: ŷ = 97.3 - 9.35x R-squared value: 0.25

5. Slope: -9.35 – As forced expiratory volume increases by 1 L, age decreases roughly by 9 years 6. y-intercept: 97.3 – does not make sense to have a forced expiratory volume of 0 unless you are dead (see work below) ŷ = 97.3 – 9.35(0) ŷ = 97.3 7. Correlation coefficient: -0.53 – there is a weak, negative correlation between forced expiratory volume and age 8. R2: 0.25 – 25.00% on variation of the Islanders’ ages is explained by their forced expiratory volume 9. ŷ = 97.3 – 9.35(3.92) ŷ = 60.648 (predicted value) y – ŷ = residual 84 – 60.648 = 23.352 (residual) 10. Conclusion: Is there a relationship? Yes, there a relationship between forced expiratory volume and age, but the relationship is not very strong. It makes sense that as your age increases your forced expiratory volume decreases over time, but there is not a very strong correlation between the two values. The correlation coefficient is only -0.53, and the R2 value is only 0.25, which is not very close to 1, demonstrating a weak relationship between the two values.

11. Is there a difference in the relationship between forced expiratory volume and age for men and for women??

Females

Slope Males – -12.54 Slope Females – -13.43 R2 Males – 0.469 R2 Females – 0.364

Males...