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 = 0.5 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Špilak
3
68 kgPfingsten
7
69 kgBiesek
8
66 kgDenifl
15
65 kgRuijgh
19
64 kgJõeäär
27
84 kgVoß
37
66 kgKvist
41
68 kgCapecchi
49
65 kgJanse van Rensburg
56
63 kgLudescher
58
72 kgvan Amerongen
64
70 kgGesink
68
70 kgKoren
77
72 kgKönig
78
62 kgTaaramäe
81
73 kgEdmüller
94
70 kg
3
68 kgPfingsten
7
69 kgBiesek
8
66 kgDenifl
15
65 kgRuijgh
19
64 kgJõeäär
27
84 kgVoß
37
66 kgKvist
41
68 kgCapecchi
49
65 kgJanse van Rensburg
56
63 kgLudescher
58
72 kgvan Amerongen
64
70 kgGesink
68
70 kgKoren
77
72 kgKönig
78
62 kgTaaramäe
81
73 kgEdmüller
94
70 kg
Weight (KG) →
Result →
84
62
3
94
# | Rider | Weight (KG) |
---|---|---|
3 | ŠPILAK Simon | 68 |
7 | PFINGSTEN Christoph | 69 |
8 | BIESEK Szymon | 66 |
15 | DENIFL Stefan | 65 |
19 | RUIJGH Rob | 64 |
27 | JÕEÄÄR Gert | 84 |
37 | VOß Paul | 66 |
41 | KVIST Thomas Vedel | 68 |
49 | CAPECCHI Eros | 65 |
56 | JANSE VAN RENSBURG Jacques | 63 |
58 | LUDESCHER Philipp | 72 |
64 | VAN AMERONGEN Thijs | 70 |
68 | GESINK Robert | 70 |
77 | KOREN Kristijan | 72 |
78 | KÖNIG Leopold | 62 |
81 | TAARAMÄE Rein | 73 |
94 | EDMÜLLER Benjamin | 70 |