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 = 0.6 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Bulla
1
75 kgFaure
2
58 kgHardiquest
3
72 kgRomanatti
4
75 kgBüchi
6
68 kgBüchi
7
65 kgRinaldi
8
71 kgThallinger
9
70 kgBuse
10
74 kgAntenen
11
75 kgGrandi
12
69 kgDignef
14
70 kgOrecchia
14
62 kgPancera
18
69 kgErne
20
70 kgMauclair
22
67 kgFrantz
23
78 kgBlattmann
24
68 kgLuisoni
27
71 kgStrebel
28
68 kgKutschbach
31
70 kgAltenburger
33
81 kgBula
42
71 kgEgli
43
72 kg
1
75 kgFaure
2
58 kgHardiquest
3
72 kgRomanatti
4
75 kgBüchi
6
68 kgBüchi
7
65 kgRinaldi
8
71 kgThallinger
9
70 kgBuse
10
74 kgAntenen
11
75 kgGrandi
12
69 kgDignef
14
70 kgOrecchia
14
62 kgPancera
18
69 kgErne
20
70 kgMauclair
22
67 kgFrantz
23
78 kgBlattmann
24
68 kgLuisoni
27
71 kgStrebel
28
68 kgKutschbach
31
70 kgAltenburger
33
81 kgBula
42
71 kgEgli
43
72 kg
Weight (KG) →
Result →
81
58
1
43
# | Rider | Weight (KG) |
---|---|---|
1 | BULLA Max | 75 |
2 | FAURE Benoît | 58 |
3 | HARDIQUEST Louis | 72 |
4 | ROMANATTI Carlo | 75 |
6 | BÜCHI Albert | 68 |
7 | BÜCHI Alfred | 65 |
8 | RINALDI Gaspard | 71 |
9 | THALLINGER Karl | 70 |
10 | BUSE Hermann | 74 |
11 | ANTENEN Georges | 75 |
12 | GRANDI Allegro | 69 |
14 | DIGNEF Antoon | 70 |
14 | ORECCHIA Michele | 62 |
18 | PANCERA Giuseppe | 69 |
20 | ERNE August | 70 |
22 | MAUCLAIR Joseph | 67 |
23 | FRANTZ Nicolas | 78 |
24 | BLATTMANN Walter | 68 |
27 | LUISONI Luigi | 71 |
28 | STREBEL Roger | 68 |
31 | KUTSCHBACH Willi | 70 |
33 | ALTENBURGER Karl | 81 |
42 | BULA Alfred | 71 |
43 | EGLI Paul | 72 |