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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Dufaux
1
60 kgPantani
2
58 kgZberg
3
72 kgCamenzind
4
62 kgBortolami
5
73 kgTotschnig
6
62 kgJulich
7
68 kgBoardman
8
70 kgLuttenberger
11
60 kgTafi
12
73 kgSchnider
15
65 kgJeker
17
72 kgRominger
18
65 kgRichard
20
67 kgMeier
21
69 kgZberg
23
69 kgJärmann
24
73 kgMerckx
25
77 kgZucconi
26
63 kg
1
60 kgPantani
2
58 kgZberg
3
72 kgCamenzind
4
62 kgBortolami
5
73 kgTotschnig
6
62 kgJulich
7
68 kgBoardman
8
70 kgLuttenberger
11
60 kgTafi
12
73 kgSchnider
15
65 kgJeker
17
72 kgRominger
18
65 kgRichard
20
67 kgMeier
21
69 kgZberg
23
69 kgJärmann
24
73 kgMerckx
25
77 kgZucconi
26
63 kg
Weight (KG) →
Result →
77
58
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 2 | PANTANI Marco | 58 |
| 3 | ZBERG Beat | 72 |
| 4 | CAMENZIND Oscar | 62 |
| 5 | BORTOLAMI Gianluca | 73 |
| 6 | TOTSCHNIG Georg | 62 |
| 7 | JULICH Bobby | 68 |
| 8 | BOARDMAN Chris | 70 |
| 11 | LUTTENBERGER Peter | 60 |
| 12 | TAFI Andrea | 73 |
| 15 | SCHNIDER Daniel | 65 |
| 17 | JEKER Fabian | 72 |
| 18 | ROMINGER Tony | 65 |
| 20 | RICHARD Pascal | 67 |
| 21 | MEIER Armin | 69 |
| 23 | ZBERG Markus | 69 |
| 24 | JÄRMANN Rolf | 73 |
| 25 | MERCKX Axel | 77 |
| 26 | ZUCCONI Pietro | 63 |