Regresi
2
No X Y 1 1 0.5 2 2 1.7 3 3 3.4 4 4 5.7 5 5 8.4 X Y 4 30 6 18 8 22 10 28 14 14 16 22 20 16 22 8 24 20 28 8 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 1 2 3 4 5 6 7 8 9 0.5 1.7 3.4 5.7 f(x) = 1.98 x − 2 R² = 0.976876308182996 Y 0 5 10 15 20 25 0 5 10 15 20 25 30 35 f(x) = − 0.656914893617021 x + 28. R² = 0.522991067601625 Y
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Transcript of Regresi
No X Y1 1 0.52 2 1.73 3 3.44 4 5.75 5 8.4
X Y4 306 188 22
10 2814 1416 2220 1622 824 2028 8
0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.50
1
2
3
4
5
6
7
8
9
0.5
1.7
3.4
5.7
8.4
f(x) = 1.98 x − 2R² = 0.976876308182996
Y
YLinear (Y)
0 5 10 15 20 25 300
5
10
15
20
25
30
35
f(x) = − 0.656914893617022 x + 28.5851063829787R² = 0.522991067601625
Y
YLinear (Y)Linear (Y)
0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.50
1
2
3
4
5
6
7
8
9
0.5
1.7
3.4
5.7
8.4
f(x) = 1.98 x − 2R² = 0.976876308182996
Y
YLinear (Y)
0 5 10 15 20 25 300
5
10
15
20
25
30
35
f(x) = − 0.656914893617022 x + 28.5851063829787R² = 0.522991067601625
Y
YLinear (Y)Linear (Y)
