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 - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bulla
1
75 kgBüchi
2
68 kgRinaldi
3
71 kgFaure
4
58 kgRomanatti
7
75 kgOrecchia
8
62 kgBlattmann
9
68 kgBuse
10
74 kgErne
11
70 kgPancera
12
69 kgBüchi
13
65 kgDignef
14
70 kgGrandi
15
69 kgHardiquest
17
72 kgAltenburger
20
81 kgAntenen
22
75 kgThallinger
23
70 kgFrantz
24
78 kgBula
27
71 kgKutschbach
29
70 kgLuisoni
30
71 kgMauclair
31
67 kgEgli
39
72 kgStrebel
42
68 kg
1
75 kgBüchi
2
68 kgRinaldi
3
71 kgFaure
4
58 kgRomanatti
7
75 kgOrecchia
8
62 kgBlattmann
9
68 kgBuse
10
74 kgErne
11
70 kgPancera
12
69 kgBüchi
13
65 kgDignef
14
70 kgGrandi
15
69 kgHardiquest
17
72 kgAltenburger
20
81 kgAntenen
22
75 kgThallinger
23
70 kgFrantz
24
78 kgBula
27
71 kgKutschbach
29
70 kgLuisoni
30
71 kgMauclair
31
67 kgEgli
39
72 kgStrebel
42
68 kg
Weight (KG) →
Result →
81
58
1
42
# | Rider | Weight (KG) |
---|---|---|
1 | BULLA Max | 75 |
2 | BÜCHI Albert | 68 |
3 | RINALDI Gaspard | 71 |
4 | FAURE Benoît | 58 |
7 | ROMANATTI Carlo | 75 |
8 | ORECCHIA Michele | 62 |
9 | BLATTMANN Walter | 68 |
10 | BUSE Hermann | 74 |
11 | ERNE August | 70 |
12 | PANCERA Giuseppe | 69 |
13 | BÜCHI Alfred | 65 |
14 | DIGNEF Antoon | 70 |
15 | GRANDI Allegro | 69 |
17 | HARDIQUEST Louis | 72 |
20 | ALTENBURGER Karl | 81 |
22 | ANTENEN Georges | 75 |
23 | THALLINGER Karl | 70 |
24 | FRANTZ Nicolas | 78 |
27 | BULA Alfred | 71 |
29 | KUTSCHBACH Willi | 70 |
30 | LUISONI Luigi | 71 |
31 | MAUCLAIR Joseph | 67 |
39 | EGLI Paul | 72 |
42 | STREBEL Roger | 68 |