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 - 26
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Becker
1
64 kgGarfoot
4
56 kgSaarelainen
6
58 kgZabelinskaya
8
52 kgNorman Leth
10
68 kgHagiwara
12
52 kgBronzini
13
54 kgOlds
14
54 kgCecchini
15
52 kgConfalonieri
17
56 kgHoskins
18
64 kgGuarischi
21
57 kgFrapporti
22
63 kgMoberg
25
56 kgde Baat
28
56 kgMarkus
34
61 kgKitchen
36
60 kgAlgisi
39
60 kgBurchenkova
41
67 kgFahlin
50
63 kgMartin
52
57 kg
1
64 kgGarfoot
4
56 kgSaarelainen
6
58 kgZabelinskaya
8
52 kgNorman Leth
10
68 kgHagiwara
12
52 kgBronzini
13
54 kgOlds
14
54 kgCecchini
15
52 kgConfalonieri
17
56 kgHoskins
18
64 kgGuarischi
21
57 kgFrapporti
22
63 kgMoberg
25
56 kgde Baat
28
56 kgMarkus
34
61 kgKitchen
36
60 kgAlgisi
39
60 kgBurchenkova
41
67 kgFahlin
50
63 kgMartin
52
57 kg
Weight (KG) →
Result →
68
52
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BECKER Charlotte | 64 |
| 4 | GARFOOT Katrin | 56 |
| 6 | SAARELAINEN Sari | 58 |
| 8 | ZABELINSKAYA Olga | 52 |
| 10 | NORMAN LETH Julie | 68 |
| 12 | HAGIWARA Mayuko | 52 |
| 13 | BRONZINI Giorgia | 54 |
| 14 | OLDS Shelley | 54 |
| 15 | CECCHINI Elena | 52 |
| 17 | CONFALONIERI Maria Giulia | 56 |
| 18 | HOSKINS Melissa | 64 |
| 21 | GUARISCHI Barbara | 57 |
| 22 | FRAPPORTI Simona | 63 |
| 25 | MOBERG Emilie | 56 |
| 28 | DE BAAT Kim | 56 |
| 34 | MARKUS Riejanne | 61 |
| 36 | KITCHEN Lauren | 60 |
| 39 | ALGISI Alice | 60 |
| 41 | BURCHENKOVA Alexandra | 67 |
| 50 | FAHLIN Emilia | 63 |
| 52 | MARTIN Lucy | 57 |