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 = -0.8 * weight + 102
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Fernandes
1
54 kgMartisova
3
64 kgBaccaille
5
61 kgGilmore
8
56 kgLjungskog
19
57 kgMelchers
21
59 kgvan den Brand
36
51 kgWild
39
75 kgJohansson
41
58 kgVillumsen
43
59 kgVisser
45
59 kgBronzini
61
54 kgCooke
70
58 kgWyman
76
56 kgGunnewijk
78
67 kgBeltman
94
68 kgGrassi
103
56 kgFernandes Silva
104
52 kgStander
107
57 kgLichtenberg
115
52 kg
1
54 kgMartisova
3
64 kgBaccaille
5
61 kgGilmore
8
56 kgLjungskog
19
57 kgMelchers
21
59 kgvan den Brand
36
51 kgWild
39
75 kgJohansson
41
58 kgVillumsen
43
59 kgVisser
45
59 kgBronzini
61
54 kgCooke
70
58 kgWyman
76
56 kgGunnewijk
78
67 kgBeltman
94
68 kgGrassi
103
56 kgFernandes Silva
104
52 kgStander
107
57 kgLichtenberg
115
52 kg
Weight (KG) →
Result →
75
51
1
115
# | Rider | Weight (KG) |
---|---|---|
1 | FERNANDES Clemilda | 54 |
3 | MARTISOVA Julia | 64 |
5 | BACCAILLE Monia | 61 |
8 | GILMORE Rochelle | 56 |
19 | LJUNGSKOG Susanne | 57 |
21 | MELCHERS Mirjam | 59 |
36 | VAN DEN BRAND Daphny | 51 |
39 | WILD Kirsten | 75 |
41 | JOHANSSON Emma | 58 |
43 | VILLUMSEN Linda | 59 |
45 | VISSER Adrie | 59 |
61 | BRONZINI Giorgia | 54 |
70 | COOKE Nicole | 58 |
76 | WYMAN Helen | 56 |
78 | GUNNEWIJK Loes | 67 |
94 | BELTMAN Chantal | 68 |
103 | GRASSI Giuseppina | 56 |
104 | FERNANDES SILVA Janildes | 52 |
107 | STANDER Marissa | 57 |
115 | LICHTENBERG Claudia | 52 |