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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Charteau
1
67 kgMcLeod
2
66 kgLoubet
3
66 kgDumoulin
4
57 kgGène
5
67 kgBérard
6
70 kgMoinard
7
69 kgRousseau
8
70 kgVenter
10
70 kgBuffaz
11
64 kgHasnaoui
13
80 kgJanse van Rensburg
15
74 kgBonnafond
18
68 kgBernaudeau
22
62 kgMoncoutié
24
69 kgBlot
26
71 kgClaude
31
69 kgReihs
32
75 kgGastauer
34
73 kgArrieta
36
68 kgKangangi
39
64 kgQuéméneur
47
67 kgGirdlestone
59
66 kg
1
67 kgMcLeod
2
66 kgLoubet
3
66 kgDumoulin
4
57 kgGène
5
67 kgBérard
6
70 kgMoinard
7
69 kgRousseau
8
70 kgVenter
10
70 kgBuffaz
11
64 kgHasnaoui
13
80 kgJanse van Rensburg
15
74 kgBonnafond
18
68 kgBernaudeau
22
62 kgMoncoutié
24
69 kgBlot
26
71 kgClaude
31
69 kgReihs
32
75 kgGastauer
34
73 kgArrieta
36
68 kgKangangi
39
64 kgQuéméneur
47
67 kgGirdlestone
59
66 kg
Weight (KG) →
Result →
80
57
1
59
# | Rider | Weight (KG) |
---|---|---|
1 | CHARTEAU Anthony | 67 |
2 | MCLEOD Ian | 66 |
3 | LOUBET Julien | 66 |
4 | DUMOULIN Samuel | 57 |
5 | GÈNE Yohann | 67 |
6 | BÉRARD Julien | 70 |
7 | MOINARD Amaël | 69 |
8 | ROUSSEAU Nicolas | 70 |
10 | VENTER Jaco | 70 |
11 | BUFFAZ Mickaël | 64 |
13 | HASNAOUI Maher | 80 |
15 | JANSE VAN RENSBURG Reinardt | 74 |
18 | BONNAFOND Guillaume | 68 |
22 | BERNAUDEAU Giovanni | 62 |
24 | MONCOUTIÉ David | 69 |
26 | BLOT Guillaume | 71 |
31 | CLAUDE Mathieu | 69 |
32 | REIHS Michael | 75 |
34 | GASTAUER Ben | 73 |
36 | ARRIETA José Luis | 68 |
39 | KANGANGI Suleiman | 64 |
47 | QUÉMÉNEUR Perrig | 67 |
59 | GIRDLESTONE Dylan | 66 |