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 = 1.2 * weight - 27
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Augé
2
61 kgWalker
6
52 kgFontaine
8
70 kgTarling
15
78 kgTapia
17
56 kgTavares
18
58 kgJochum
24
76 kgBréant
35
62 kgLightfoot
47
57 kgMeunier Sow
51
61 kgErrasti
55
73 kgRenaud-Tremblay
65
60 kgPérez
94
66 kgCouture
95
67 kgNaudon
112
80 kgSilykbek
118
65 kgGiuliano
126
63 kg
2
61 kgWalker
6
52 kgFontaine
8
70 kgTarling
15
78 kgTapia
17
56 kgTavares
18
58 kgJochum
24
76 kgBréant
35
62 kgLightfoot
47
57 kgMeunier Sow
51
61 kgErrasti
55
73 kgRenaud-Tremblay
65
60 kgPérez
94
66 kgCouture
95
67 kgNaudon
112
80 kgSilykbek
118
65 kgGiuliano
126
63 kg
Weight (KG) →
Result →
80
52
2
126
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AUGÉ Ronan | 61 |
| 6 | WALKER Zachary | 52 |
| 8 | FONTAINE Titouan | 70 |
| 15 | TARLING Joshua | 78 |
| 17 | TAPIA Adur | 56 |
| 18 | TAVARES Gonçalo | 58 |
| 24 | JOCHUM Ben Felix | 76 |
| 35 | BRÉANT Romain | 62 |
| 47 | LIGHTFOOT Mark | 57 |
| 51 | MEUNIER SOW Neriah | 61 |
| 55 | ERRASTI Unax | 73 |
| 65 | RENAUD-TREMBLAY Sasha | 60 |
| 94 | PÉREZ César | 66 |
| 95 | COUTURE Samuel | 67 |
| 112 | NAUDON Clement | 80 |
| 118 | SILYKBEK Aslan | 65 |
| 126 | GIULIANO Dario | 63 |