Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.8 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Chiappucci
1
67 kgZanini
3
80 kgBallerini
5
78 kgFrattini
7
60 kgRebellin
8
63 kgMadouas
11
70 kgTafi
12
73 kgBerzin
14
64 kgDonati
15
75 kgTeteriouk
20
72 kgZberg
21
72 kgShefer
24
68 kgSimon
25
70 kgFagnini
26
70 kgUshakov
29
73 kgGianetti
30
62 kgNardello
32
74 kgBonča
33
63 kgSimoni
35
59 kgNoè
36
65 kgUgrumov
39
58 kgImboden
40
70 kgGotti
42
65 kgRichard
47
67 kg
1
67 kgZanini
3
80 kgBallerini
5
78 kgFrattini
7
60 kgRebellin
8
63 kgMadouas
11
70 kgTafi
12
73 kgBerzin
14
64 kgDonati
15
75 kgTeteriouk
20
72 kgZberg
21
72 kgShefer
24
68 kgSimon
25
70 kgFagnini
26
70 kgUshakov
29
73 kgGianetti
30
62 kgNardello
32
74 kgBonča
33
63 kgSimoni
35
59 kgNoè
36
65 kgUgrumov
39
58 kgImboden
40
70 kgGotti
42
65 kgRichard
47
67 kg
Weight (KG) →
Result →
80
58
1
47
# | Rider | Weight (KG) |
---|---|---|
1 | CHIAPPUCCI Claudio | 67 |
3 | ZANINI Stefano | 80 |
5 | BALLERINI Franco | 78 |
7 | FRATTINI Francesco | 60 |
8 | REBELLIN Davide | 63 |
11 | MADOUAS Laurent | 70 |
12 | TAFI Andrea | 73 |
14 | BERZIN Evgeni | 64 |
15 | DONATI Massimo | 75 |
20 | TETERIOUK Andrei | 72 |
21 | ZBERG Beat | 72 |
24 | SHEFER Alexandre | 68 |
25 | SIMON François | 70 |
26 | FAGNINI Gian Matteo | 70 |
29 | USHAKOV Serhiy | 73 |
30 | GIANETTI Mauro | 62 |
32 | NARDELLO Daniele | 74 |
33 | BONČA Valter | 63 |
35 | SIMONI Gilberto | 59 |
36 | NOÈ Andrea | 65 |
39 | UGRUMOV Piotr | 58 |
40 | IMBODEN Heinz | 70 |
42 | GOTTI Ivan | 65 |
47 | RICHARD Pascal | 67 |