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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Louviot
3
62 kgBautz
4
72 kgBula
6
71 kgRinaldi
7
71 kgIntrozzi
8
75 kgMartin
9
69 kgLevel
10
64 kgGarnier
11
74 kgPedroli
12
67 kgBüchi
13
68 kgButtafocchi
14
75 kgRomanatti
15
75 kgAmberg
16
72 kgGeyer
17
73 kgAltenburger
18
81 kgMersch
20
73 kgHartmann
22
68 kgFaure
23
58 kgHeimann
24
73 kgKutschbach
26
70 kgStettler
27
81 kgLuisoni
28
71 kgBlattmann
29
68 kgEgli
30
72 kg
3
62 kgBautz
4
72 kgBula
6
71 kgRinaldi
7
71 kgIntrozzi
8
75 kgMartin
9
69 kgLevel
10
64 kgGarnier
11
74 kgPedroli
12
67 kgBüchi
13
68 kgButtafocchi
14
75 kgRomanatti
15
75 kgAmberg
16
72 kgGeyer
17
73 kgAltenburger
18
81 kgMersch
20
73 kgHartmann
22
68 kgFaure
23
58 kgHeimann
24
73 kgKutschbach
26
70 kgStettler
27
81 kgLuisoni
28
71 kgBlattmann
29
68 kgEgli
30
72 kg
Weight (KG) →
Result →
81
58
3
30
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LOUVIOT Raymond | 62 |
| 4 | BAUTZ Erich | 72 |
| 6 | BULA Alfred | 71 |
| 7 | RINALDI Gaspard | 71 |
| 8 | INTROZZI Augusto | 75 |
| 9 | MARTIN Hans | 69 |
| 10 | LEVEL Léon | 64 |
| 11 | GARNIER Henri | 74 |
| 12 | PEDROLI René | 67 |
| 13 | BÜCHI Albert | 68 |
| 14 | BUTTAFOCCHI Adrien | 75 |
| 15 | ROMANATTI Carlo | 75 |
| 16 | AMBERG Leo | 72 |
| 17 | GEYER Ludwig | 73 |
| 18 | ALTENBURGER Karl | 81 |
| 20 | MERSCH Arsène | 73 |
| 22 | HARTMANN Fritz | 68 |
| 23 | FAURE Benoît | 58 |
| 24 | HEIMANN Theo | 73 |
| 26 | KUTSCHBACH Willi | 70 |
| 27 | STETTLER Kurt | 81 |
| 28 | LUISONI Luigi | 71 |
| 29 | BLATTMANN Walter | 68 |
| 30 | EGLI Paul | 72 |