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 = -3.5 * weight + 331
This means that on average for every extra kilogram weight a rider loses -3.5 positions in the result.
Kelly
7
77 kgChiappucci
8
67 kgYates
20
74 kgHerrera
34
57 kgIlegems
40
74 kgMujika
47
73 kgFernández
69
68 kgInduráin
73
76 kgPeeters
77
76 kgNavarro
86
77 kgElliott
108
76 kgEnríquez
135
65 kgDomínguez
144
67 kgWeltz
145
65 kgVilamajo
153
70 kgAlonso
155
70 kgEarley
159
62 kgSchepers
166
60 kg
7
77 kgChiappucci
8
67 kgYates
20
74 kgHerrera
34
57 kgIlegems
40
74 kgMujika
47
73 kgFernández
69
68 kgInduráin
73
76 kgPeeters
77
76 kgNavarro
86
77 kgElliott
108
76 kgEnríquez
135
65 kgDomínguez
144
67 kgWeltz
145
65 kgVilamajo
153
70 kgAlonso
155
70 kgEarley
159
62 kgSchepers
166
60 kg
Weight (KG) →
Result →
77
57
7
166
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | KELLY Sean | 77 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 20 | YATES Sean | 74 |
| 34 | HERRERA Luis Alberto | 57 |
| 40 | ILEGEMS Roger | 74 |
| 47 | MUJIKA Jokin | 73 |
| 69 | FERNÁNDEZ Juan | 68 |
| 73 | INDURÁIN Miguel | 76 |
| 77 | PEETERS Wilfried | 76 |
| 86 | NAVARRO Francisco | 77 |
| 108 | ELLIOTT Malcolm | 76 |
| 135 | ENRÍQUEZ Félipe | 65 |
| 144 | DOMÍNGUEZ Manuel Jorge | 67 |
| 145 | WELTZ Johnny | 65 |
| 153 | VILAMAJO Jaime | 70 |
| 155 | ALONSO Marino | 70 |
| 159 | EARLEY Martin | 62 |
| 166 | SCHEPERS Eddy | 60 |