Senin, 28 Maret 2016

Tugas ke 2 Analisis Regresi ; Tabel 1 = Data Indeks Masa Tubuh (IMT) dan Glukosa Post Prandial (GPP) & Tabel 2 = Data IMT dan Trigliserida

 

Y

X

Y-rerataY

X-rerataX

(Y-rerataY)(X-rerataX)

kuadrat (X-rerataX)

 

18.6

150

-3.003703704

7.962962963

-23.91838134

63.40877915

 

28.1

150

6.496296296

7.962962963

51.7297668

63.40877915

 

25.1

120

3.496296296

-22.03703704

-77.04801097

485.6310014

 

21.6

150

-0.003703704

7.962962963

-0.029492455

63.40877915

 

28.4

190

6.796296296

47.96296296

325.9705075

2300.445816

 

20.8

110

-0.803703704

-32.03703704

25.74828532

1026.371742

 

23.2

150

1.596296296

7.962962963

12.71124829

63.40877915

 

15.9

130

-5.703703704

-12.03703704

68.65569273

144.8902606

 

16.4

130

-5.203703704

-12.03703704

62.63717421

144.8902606

 

18.2

120

-3.403703704

-22.03703704

75.00754458

485.6310014

 

17.9

130

-3.703703704

-12.03703704

44.58161866

144.8902606

 

21.8

140

0.196296296

-2.037037037

-0.399862826

4.14951989

 

16.1

100

-5.503703704

-42.03703704

231.3593964

1767.112483

 

21.5

150

-0.103703704

7.962962963

-0.825788752

63.40877915

 

24.5

130

2.896296296

-12.03703704

-34.86282579

144.8902606

 

23.7

180

2.096296296

37.96296296

79.58161866

1441.186557

 

21.9

140

0.296296296

-2.037037037

-0.603566529

4.14951989

 

18.6

135

-3.003703704

-7.037037037

21.13717421

49.51989026

 

27

140

5.396296296

-2.037037037

-10.99245542

4.14951989

 

18.9

100

-2.703703704

-42.03703704

113.6556927

1767.112483

 

16.7

100

-4.903703704

-42.03703704

206.1371742

1767.112483

 

18.5

170

-3.103703704

27.96296296

-86.78875171

781.9272977

 

19.4

150

-2.203703704

7.962962963

-17.54801097

63.40877915

 

24

160

2.396296296

17.96296296

43.04458162

322.6680384

 

26.8

200

5.196296296

57.96296296

301.1927298

3359.705075

 

28.7

190

7.096296296

47.96296296

340.3593964

2300.445816

 

21

120

-0.603703704

-22.03703704

13.30384088

485.6310014

 

 

 

 

 

 

 

RERATA

21.6037037

142.037037

 

 

 

 

SD

3.963339839

27.25447244

 

 

 

 

JUMLAH

1763.796296

19312.96296

 

 

 

 

 

 

 

nilai β₁

0.091327069

 

 

 

 

 

nilai β₀

8.631877457

 

 

 

 

 

 

 

 

 

 

 

maka persamaan regresi garis lurus adalah

 

 

 

 

Y

X

Y-rerataY

X-rerataX

(Y-rerataY)(X-rerataX)

kuadrat (X-rerataX)

 

18.6

180

-3.003703704

6.481481481

-19.46844993

42.00960219

 

28.1

180

6.496296296

6.481481481

42.10562414

42.00960219

 

25.1

160

3.496296296

-13.51851852

-47.26474623

182.7503429

 

21.6

180

-0.003703704

6.481481481

-0.024005487

42.00960219

 

28.4

210

6.796296296

36.48148148

247.9389575

1330.898491

 

20.8

140

-0.803703704

-33.51851852

26.93895748

1123.491084

 

23.2

180

1.596296296

6.481481481

10.34636488

42.00960219

 

15.9

160

-5.703703704

-13.51851852

77.10562414

182.7503429

 

16.4

160

-5.203703704

-13.51851852

70.34636488

182.7503429

 

18.2

150

-3.403703704

-23.51851852

80.05006859

553.1207133

 

17.9

160

-3.703703704

-13.51851852

50.06858711

182.7503429

 

21.8

170

0.196296296

-3.518518519

-0.690672154

12.37997257

 

16.1

130

-5.503703704

-43.51851852

239.5130316

1893.861454

 

21.5

180

-0.103703704

6.481481481

-0.672153635

42.00960219

 

24.5

160

2.896296296

-13.51851852

-39.15363512

182.7503429

 

23.7

210

2.096296296

36.48148148

76.47599451

1330.898491

 

21.9

170

0.296296296

-3.518518519

-1.042524005

12.37997257

 

18.6

165

-3.003703704

-8.518518519

25.58710562

72.56515775

 

27

170

5.396296296

-3.518518519

-18.98696845

12.37997257

 

18.9

140

-2.703703704

-33.51851852

90.62414266

1123.491084

 

16.7

130

-4.903703704

-43.51851852

213.4019204

1893.861454

 

18.5

200

-3.103703704

26.48148148

-82.19067215

701.2688615

 

19.4

180

-2.203703704

6.481481481

-14.28326475

42.00960219

 

24

190

2.396296296

16.48148148

39.49451303

271.6392318

 

26.8

230

5.196296296

56.48148148

293.494513

3190.15775

 

28.7

240

7.096296296

66.48148148

471.7722908

4419.78738

 

21

160

-0.603703704

-13.51851852

8.161179698

182.7503429

 

 

 

 

 

 

 

RERATA

21.6037037

173.5185185

 

 

 

 

SD

3.963339839

27.23878791

 

 

 

 

JUMLAH

1839.648148

19290.74074

 

 

 

 

 

 

 

nilai β₁

0.095364308

 

 

 

 

 

nilai β₀

5.056230201

 

 

 

 

 

 

 

 

 

 

 

 

 

maka persamaan regresi garis lurus adalah

 

 

 

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