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 = -0.7 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Altenburger
1
81 kgHardiquest
2
72 kgAntenen
3
75 kgFaure
4
58 kgRinaldi
5
71 kgFrantz
6
78 kgBlattmann
8
68 kgBüchi
8
68 kgBüchi
8
65 kgBula
8
71 kgBulla
8
75 kgBuse
8
74 kgDignef
8
70 kgErne
8
70 kgGrandi
8
69 kgLuisoni
8
71 kgMauclair
8
67 kgRomanatti
8
75 kgThallinger
8
70 kgOrecchia
32
62 kgKutschbach
33
70 kgPancera
35
69 kgEgli
43
72 kgStrebel
44
68 kg
1
81 kgHardiquest
2
72 kgAntenen
3
75 kgFaure
4
58 kgRinaldi
5
71 kgFrantz
6
78 kgBlattmann
8
68 kgBüchi
8
68 kgBüchi
8
65 kgBula
8
71 kgBulla
8
75 kgBuse
8
74 kgDignef
8
70 kgErne
8
70 kgGrandi
8
69 kgLuisoni
8
71 kgMauclair
8
67 kgRomanatti
8
75 kgThallinger
8
70 kgOrecchia
32
62 kgKutschbach
33
70 kgPancera
35
69 kgEgli
43
72 kgStrebel
44
68 kg
Weight (KG) →
Result →
81
58
1
44
# | Rider | Weight (KG) |
---|---|---|
1 | ALTENBURGER Karl | 81 |
2 | HARDIQUEST Louis | 72 |
3 | ANTENEN Georges | 75 |
4 | FAURE Benoît | 58 |
5 | RINALDI Gaspard | 71 |
6 | FRANTZ Nicolas | 78 |
8 | BLATTMANN Walter | 68 |
8 | BÜCHI Albert | 68 |
8 | BÜCHI Alfred | 65 |
8 | BULA Alfred | 71 |
8 | BULLA Max | 75 |
8 | BUSE Hermann | 74 |
8 | DIGNEF Antoon | 70 |
8 | ERNE August | 70 |
8 | GRANDI Allegro | 69 |
8 | LUISONI Luigi | 71 |
8 | MAUCLAIR Joseph | 67 |
8 | ROMANATTI Carlo | 75 |
8 | THALLINGER Karl | 70 |
32 | ORECCHIA Michele | 62 |
33 | KUTSCHBACH Willi | 70 |
35 | PANCERA Giuseppe | 69 |
43 | EGLI Paul | 72 |
44 | STREBEL Roger | 68 |