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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bugno
1
68 kgChiappucci
2
67 kgRichard
4
67 kgPeron
6
70 kgInduráin
8
76 kgAldag
10
75 kgNijdam
12
70 kgVan Petegem
13
70 kgJärmann
16
73 kgJeker
19
72 kgMoncassin
21
73 kgBonča
23
63 kgBölts
24
73 kgNevens
25
58 kgSørensen
28
70 kgFignon
32
67 kgZberg
33
72 kgRoche
34
74 kg
1
68 kgChiappucci
2
67 kgRichard
4
67 kgPeron
6
70 kgInduráin
8
76 kgAldag
10
75 kgNijdam
12
70 kgVan Petegem
13
70 kgJärmann
16
73 kgJeker
19
72 kgMoncassin
21
73 kgBonča
23
63 kgBölts
24
73 kgNevens
25
58 kgSørensen
28
70 kgFignon
32
67 kgZberg
33
72 kgRoche
34
74 kg
Weight (KG) →
Result →
76
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGNO Gianni | 68 |
| 2 | CHIAPPUCCI Claudio | 67 |
| 4 | RICHARD Pascal | 67 |
| 6 | PERON Andrea | 70 |
| 8 | INDURÁIN Miguel | 76 |
| 10 | ALDAG Rolf | 75 |
| 12 | NIJDAM Jelle | 70 |
| 13 | VAN PETEGEM Peter | 70 |
| 16 | JÄRMANN Rolf | 73 |
| 19 | JEKER Fabian | 72 |
| 21 | MONCASSIN Frédéric | 73 |
| 23 | BONČA Valter | 63 |
| 24 | BÖLTS Udo | 73 |
| 25 | NEVENS Jan | 58 |
| 28 | SØRENSEN Rolf | 70 |
| 32 | FIGNON Laurent | 67 |
| 33 | ZBERG Beat | 72 |
| 34 | ROCHE Stephen | 74 |