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 = 3.3 * weight - 160
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Kirby
3
70 kgSheehan
5
69 kgMainguenaud
19
63 kgBourgoyne
23
66 kgQuinn
29
67 kgTuazon
41
55 kgMiles
46
64 kgOnodera
54
63 kgJuneau
58
67 kgGilbertson
73
68 kgJussaume
76
70 kgCarreau
81
68 kgFroner
83
63 kgRussell
90
64 kgVanluxemborg
109
68 kgSirman
113
77 kgPickrell
114
72 kgPedersen
133
71 kg
3
70 kgSheehan
5
69 kgMainguenaud
19
63 kgBourgoyne
23
66 kgQuinn
29
67 kgTuazon
41
55 kgMiles
46
64 kgOnodera
54
63 kgJuneau
58
67 kgGilbertson
73
68 kgJussaume
76
70 kgCarreau
81
68 kgFroner
83
63 kgRussell
90
64 kgVanluxemborg
109
68 kgSirman
113
77 kgPickrell
114
72 kgPedersen
133
71 kg
Weight (KG) →
Result →
77
55
3
133
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KIRBY Kyle | 70 |
| 5 | SHEEHAN Riley | 69 |
| 19 | MAINGUENAUD Tom | 63 |
| 23 | BOURGOYNE Lucas | 66 |
| 29 | QUINN Sean | 67 |
| 41 | TUAZON Ron Francoise | 55 |
| 46 | MILES Carson | 64 |
| 54 | ONODERA Kei | 63 |
| 58 | JUNEAU Francis | 67 |
| 73 | GILBERTSON Theo | 68 |
| 76 | JUSSAUME Tristan | 70 |
| 81 | CARREAU Lukas | 68 |
| 83 | FRONER Axel | 63 |
| 90 | RUSSELL Evan | 64 |
| 109 | VANLUXEMBORG John | 68 |
| 113 | SIRMAN Jack | 77 |
| 114 | PICKRELL Riley | 72 |
| 133 | PEDERSEN Ellis | 71 |