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 = -1.9 * weight + 170
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Trastour
1
75 kgWillems
2
64 kgSilva
3
67 kgPenhoët
6
64 kgPage
10
71 kgTulett
11
56 kgFretin
14
70 kgInkster
22
73 kgMijnsbergen
46
68 kgVandenstorme
49
64 kgMurn
55
77 kgMaček
64
73 kgBonnet
65
63 kgSilva
74
69 kgVandenbulcke
81
61 kgColnar
86
63 kgWestley
89
54 kgZwaan
95
57 kg
1
75 kgWillems
2
64 kgSilva
3
67 kgPenhoët
6
64 kgPage
10
71 kgTulett
11
56 kgFretin
14
70 kgInkster
22
73 kgMijnsbergen
46
68 kgVandenstorme
49
64 kgMurn
55
77 kgMaček
64
73 kgBonnet
65
63 kgSilva
74
69 kgVandenbulcke
81
61 kgColnar
86
63 kgWestley
89
54 kgZwaan
95
57 kg
Weight (KG) →
Result →
77
54
1
95
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRASTOUR Loris | 75 |
| 2 | WILLEMS Jago | 64 |
| 3 | SILVA Pedro | 67 |
| 6 | PENHOËT Paul | 64 |
| 10 | PAGE Hugo | 71 |
| 11 | TULETT Ben | 56 |
| 14 | FRETIN Milan | 70 |
| 22 | INKSTER Eric | 73 |
| 46 | MIJNSBERGEN Thomas | 68 |
| 49 | VANDENSTORME Dylan | 64 |
| 55 | MURN Boštjan | 77 |
| 64 | MAČEK Matic | 73 |
| 65 | BONNET Theo | 63 |
| 74 | SILVA João | 69 |
| 81 | VANDENBULCKE Alex | 61 |
| 86 | COLNAR Aljaž | 63 |
| 89 | WESTLEY Dylan | 54 |
| 95 | ZWAAN Wouter | 57 |