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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rinaldi
1
71 kgAmberg
2
72 kgGarnier
3
74 kgRomanatti
4
75 kgButtafocchi
5
75 kgFaure
6
58 kgBula
7
71 kgBautz
9
72 kgIntrozzi
10
75 kgLouviot
11
62 kgBüchi
12
68 kgAltenburger
13
81 kgGeyer
14
73 kgLevel
15
64 kgEgli
16
72 kgHartmann
18
68 kgPedroli
19
67 kgBlattmann
20
68 kgKutschbach
22
70 kgMartin
23
69 kgHeimann
25
73 kgLuisoni
26
71 kgStettler
27
81 kgMersch
29
73 kg
1
71 kgAmberg
2
72 kgGarnier
3
74 kgRomanatti
4
75 kgButtafocchi
5
75 kgFaure
6
58 kgBula
7
71 kgBautz
9
72 kgIntrozzi
10
75 kgLouviot
11
62 kgBüchi
12
68 kgAltenburger
13
81 kgGeyer
14
73 kgLevel
15
64 kgEgli
16
72 kgHartmann
18
68 kgPedroli
19
67 kgBlattmann
20
68 kgKutschbach
22
70 kgMartin
23
69 kgHeimann
25
73 kgLuisoni
26
71 kgStettler
27
81 kgMersch
29
73 kg
Weight (KG) →
Result →
81
58
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | RINALDI Gaspard | 71 |
2 | AMBERG Leo | 72 |
3 | GARNIER Henri | 74 |
4 | ROMANATTI Carlo | 75 |
5 | BUTTAFOCCHI Adrien | 75 |
6 | FAURE Benoît | 58 |
7 | BULA Alfred | 71 |
9 | BAUTZ Erich | 72 |
10 | INTROZZI Augusto | 75 |
11 | LOUVIOT Raymond | 62 |
12 | BÜCHI Albert | 68 |
13 | ALTENBURGER Karl | 81 |
14 | GEYER Ludwig | 73 |
15 | LEVEL Léon | 64 |
16 | EGLI Paul | 72 |
18 | HARTMANN Fritz | 68 |
19 | PEDROLI René | 67 |
20 | BLATTMANN Walter | 68 |
22 | KUTSCHBACH Willi | 70 |
23 | MARTIN Hans | 69 |
25 | HEIMANN Theo | 73 |
26 | LUISONI Luigi | 71 |
27 | STETTLER Kurt | 81 |
29 | MERSCH Arsène | 73 |