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 = 0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Tarling
1
78 kgFontaine
3
70 kgAppelbaum
4
64 kgPeace
6
64 kgTavares
9
58 kgBréant
13
62 kgPérez
28
66 kgLightfoot
38
57 kgWalker
39
52 kgJochum
50
76 kgErrasti
62
73 kgAugé
75
61 kgTapia
82
56 kgCouture
83
67 kgSilykbek
84
65 kgGiuliano
90
63 kgRenaud-Tremblay
94
60 kgMeunier Sow
132
61 kgNaudon
141
80 kg
1
78 kgFontaine
3
70 kgAppelbaum
4
64 kgPeace
6
64 kgTavares
9
58 kgBréant
13
62 kgPérez
28
66 kgLightfoot
38
57 kgWalker
39
52 kgJochum
50
76 kgErrasti
62
73 kgAugé
75
61 kgTapia
82
56 kgCouture
83
67 kgSilykbek
84
65 kgGiuliano
90
63 kgRenaud-Tremblay
94
60 kgMeunier Sow
132
61 kgNaudon
141
80 kg
Weight (KG) →
Result →
80
52
1
141
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TARLING Joshua | 78 |
| 3 | FONTAINE Titouan | 70 |
| 4 | APPELBAUM Henri Johannes | 64 |
| 6 | PEACE Oliver | 64 |
| 9 | TAVARES Gonçalo | 58 |
| 13 | BRÉANT Romain | 62 |
| 28 | PÉREZ César | 66 |
| 38 | LIGHTFOOT Mark | 57 |
| 39 | WALKER Zachary | 52 |
| 50 | JOCHUM Ben Felix | 76 |
| 62 | ERRASTI Unax | 73 |
| 75 | AUGÉ Ronan | 61 |
| 82 | TAPIA Adur | 56 |
| 83 | COUTURE Samuel | 67 |
| 84 | SILYKBEK Aslan | 65 |
| 90 | GIULIANO Dario | 63 |
| 94 | RENAUD-TREMBLAY Sasha | 60 |
| 132 | MEUNIER SOW Neriah | 61 |
| 141 | NAUDON Clement | 80 |