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 = 0.4 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Faure
1
58 kgBula
4
71 kgGeyer
5
73 kgLouviot
7
62 kgHeimann
8
73 kgButtafocchi
9
75 kgRinaldi
10
71 kgMartin
11
69 kgIntrozzi
12
75 kgRomanatti
13
75 kgBlattmann
14
68 kgAmberg
15
72 kgEgli
16
72 kgGarnier
17
74 kgStettler
18
81 kgBautz
20
72 kgBüchi
22
68 kgKutschbach
23
70 kgLevel
25
64 kgLuisoni
27
71 kgPedroli
28
67 kgHartmann
29
68 kgMersch
30
73 kgAltenburger
31
81 kg
1
58 kgBula
4
71 kgGeyer
5
73 kgLouviot
7
62 kgHeimann
8
73 kgButtafocchi
9
75 kgRinaldi
10
71 kgMartin
11
69 kgIntrozzi
12
75 kgRomanatti
13
75 kgBlattmann
14
68 kgAmberg
15
72 kgEgli
16
72 kgGarnier
17
74 kgStettler
18
81 kgBautz
20
72 kgBüchi
22
68 kgKutschbach
23
70 kgLevel
25
64 kgLuisoni
27
71 kgPedroli
28
67 kgHartmann
29
68 kgMersch
30
73 kgAltenburger
31
81 kg
Weight (KG) →
Result →
81
58
1
31
# | Rider | Weight (KG) |
---|---|---|
1 | FAURE Benoît | 58 |
4 | BULA Alfred | 71 |
5 | GEYER Ludwig | 73 |
7 | LOUVIOT Raymond | 62 |
8 | HEIMANN Theo | 73 |
9 | BUTTAFOCCHI Adrien | 75 |
10 | RINALDI Gaspard | 71 |
11 | MARTIN Hans | 69 |
12 | INTROZZI Augusto | 75 |
13 | ROMANATTI Carlo | 75 |
14 | BLATTMANN Walter | 68 |
15 | AMBERG Leo | 72 |
16 | EGLI Paul | 72 |
17 | GARNIER Henri | 74 |
18 | STETTLER Kurt | 81 |
20 | BAUTZ Erich | 72 |
22 | BÜCHI Albert | 68 |
23 | KUTSCHBACH Willi | 70 |
25 | LEVEL Léon | 64 |
27 | LUISONI Luigi | 71 |
28 | PEDROLI René | 67 |
29 | HARTMANN Fritz | 68 |
30 | MERSCH Arsène | 73 |
31 | ALTENBURGER Karl | 81 |