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 = 0.1 * weight + 53
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Wood
2
56 kgTeutenberg
3
64 kgKiesanowski
6
56 kgBates
8
69 kgBronzini
9
54 kgBaccaille
15
61 kgCorneo
18
54 kgMeng
24
65 kgLe Floc'h
34
59 kgJoseph
39
57 kgArndt
44
59 kgVilajosana
50
57 kgSpratt
53
55 kgLjungskog
63
57 kgPitel
66
52 kgJungmeier
69
61 kgMin
72
56 kgValsecchi
73
58 kgBoyarskaya
81
67 kgAntoshina
83
55 kgArmstrong
84
58 kgCarrara
92
64 kgSoeder
95
52 kgUlmer
112
64 kgDoppmann
116
55 kgCheatley
120
64 kgGilmore
121
56 kgHair
122
63 kg
2
56 kgTeutenberg
3
64 kgKiesanowski
6
56 kgBates
8
69 kgBronzini
9
54 kgBaccaille
15
61 kgCorneo
18
54 kgMeng
24
65 kgLe Floc'h
34
59 kgJoseph
39
57 kgArndt
44
59 kgVilajosana
50
57 kgSpratt
53
55 kgLjungskog
63
57 kgPitel
66
52 kgJungmeier
69
61 kgMin
72
56 kgValsecchi
73
58 kgBoyarskaya
81
67 kgAntoshina
83
55 kgArmstrong
84
58 kgCarrara
92
64 kgSoeder
95
52 kgUlmer
112
64 kgDoppmann
116
55 kgCheatley
120
64 kgGilmore
121
56 kgHair
122
63 kg
Weight (KG) →
Result →
69
52
2
122
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WOOD Oenone | 56 |
| 3 | TEUTENBERG Ina-Yoko | 64 |
| 6 | KIESANOWSKI Joanne | 56 |
| 8 | BATES Katherine | 69 |
| 9 | BRONZINI Giorgia | 54 |
| 15 | BACCAILLE Monia | 61 |
| 18 | CORNEO Sigrid | 54 |
| 24 | MENG Lang | 65 |
| 34 | LE FLOC'H Magali | 59 |
| 39 | JOSEPH Rosara | 57 |
| 44 | ARNDT Judith | 59 |
| 50 | VILAJOSANA Marta | 57 |
| 53 | SPRATT Amanda | 55 |
| 63 | LJUNGSKOG Susanne | 57 |
| 66 | PITEL Edwige | 52 |
| 69 | JUNGMEIER Bärbel | 61 |
| 72 | MIN Gao | 56 |
| 73 | VALSECCHI Silvia | 58 |
| 81 | BOYARSKAYA Natalia | 67 |
| 83 | ANTOSHINA Tatiana | 55 |
| 84 | ARMSTRONG Kristin | 58 |
| 92 | CARRARA Vera | 64 |
| 95 | SOEDER Christiane | 52 |
| 112 | ULMER Sarah | 64 |
| 116 | DOPPMANN Priska | 55 |
| 120 | CHEATLEY Catherine | 64 |
| 121 | GILMORE Rochelle | 56 |
| 122 | HAIR Katrina | 63 |