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 - 20
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Persico
3
53 kgDe Wilde
4
62 kgPéloquin
11
55 kgDocx
14
52 kgDruyts
15
62 kgPowless
17
59 kgvan Houtum
18
55 kgDelbaere
20
51 kgMcMullen
39
61 kgBreck
48
59 kgBrouckaert
57
55 kgStannard
62
55 kgFranz
65
52 kgKuijpers
69
73 kgCurinier
70
53 kgWorst
74
53 kgCouzens
75
59 kgKirchmann
76
59 kgMalcotti
77
52 kgWilliams
85
66 kgClevenger
93
57 kgPirrone
96
63 kg
3
53 kgDe Wilde
4
62 kgPéloquin
11
55 kgDocx
14
52 kgDruyts
15
62 kgPowless
17
59 kgvan Houtum
18
55 kgDelbaere
20
51 kgMcMullen
39
61 kgBreck
48
59 kgBrouckaert
57
55 kgStannard
62
55 kgFranz
65
52 kgKuijpers
69
73 kgCurinier
70
53 kgWorst
74
53 kgCouzens
75
59 kgKirchmann
76
59 kgMalcotti
77
52 kgWilliams
85
66 kgClevenger
93
57 kgPirrone
96
63 kg
Weight (KG) →
Result →
73
51
3
96
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PERSICO Silvia | 53 |
| 4 | DE WILDE Julie | 62 |
| 11 | PÉLOQUIN Joséphine | 55 |
| 14 | DOCX Mieke | 52 |
| 15 | DRUYTS Kelly | 62 |
| 17 | POWLESS Shayna | 59 |
| 18 | VAN HOUTUM Céline | 55 |
| 20 | DELBAERE Fien | 51 |
| 39 | MCMULLEN Rylee | 61 |
| 48 | BRECK Holly | 59 |
| 57 | BROUCKAERT Sophie | 55 |
| 62 | STANNARD Elizabeth | 55 |
| 65 | FRANZ Heidi | 52 |
| 69 | KUIJPERS Evy | 73 |
| 70 | CURINIER Léa | 53 |
| 74 | WORST Annemarie | 53 |
| 75 | COUZENS Millie | 59 |
| 76 | KIRCHMANN Leah | 59 |
| 77 | MALCOTTI Barbara | 52 |
| 85 | WILLIAMS Lily | 66 |
| 93 | CLEVENGER Erica | 57 |
| 96 | PIRRONE Elena | 63 |