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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Büchi
1
68 kgFaure
2
58 kgHeimann
3
73 kgBula
6
71 kgAmberg
8
72 kgRinaldi
9
71 kgEgli
10
72 kgStettler
11
81 kgMartin
11
69 kgLuisoni
11
71 kgButtafocchi
11
75 kgGarnier
11
74 kgAltenburger
11
81 kgBlattmann
11
68 kgKutschbach
11
70 kgRomanatti
11
75 kgHartmann
11
68 kgLevel
11
64 kgGeyer
11
73 kgBautz
11
72 kgIntrozzi
11
75 kgMersch
11
73 kgPedroli
11
67 kgLouviot
11
62 kg
1
68 kgFaure
2
58 kgHeimann
3
73 kgBula
6
71 kgAmberg
8
72 kgRinaldi
9
71 kgEgli
10
72 kgStettler
11
81 kgMartin
11
69 kgLuisoni
11
71 kgButtafocchi
11
75 kgGarnier
11
74 kgAltenburger
11
81 kgBlattmann
11
68 kgKutschbach
11
70 kgRomanatti
11
75 kgHartmann
11
68 kgLevel
11
64 kgGeyer
11
73 kgBautz
11
72 kgIntrozzi
11
75 kgMersch
11
73 kgPedroli
11
67 kgLouviot
11
62 kg
Weight (KG) →
Result →
81
58
1
11
# | Rider | Weight (KG) |
---|---|---|
1 | BÜCHI Albert | 68 |
2 | FAURE Benoît | 58 |
3 | HEIMANN Theo | 73 |
6 | BULA Alfred | 71 |
8 | AMBERG Leo | 72 |
9 | RINALDI Gaspard | 71 |
10 | EGLI Paul | 72 |
11 | STETTLER Kurt | 81 |
11 | MARTIN Hans | 69 |
11 | LUISONI Luigi | 71 |
11 | BUTTAFOCCHI Adrien | 75 |
11 | GARNIER Henri | 74 |
11 | ALTENBURGER Karl | 81 |
11 | BLATTMANN Walter | 68 |
11 | KUTSCHBACH Willi | 70 |
11 | ROMANATTI Carlo | 75 |
11 | HARTMANN Fritz | 68 |
11 | LEVEL Léon | 64 |
11 | GEYER Ludwig | 73 |
11 | BAUTZ Erich | 72 |
11 | INTROZZI Augusto | 75 |
11 | MERSCH Arsène | 73 |
11 | PEDROLI René | 67 |
11 | LOUVIOT Raymond | 62 |