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 = -0.6 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
McNulty
1
69 kgGarrison
2
76 kgHulgaard
3
73 kgBjerg
4
78 kgKron
5
63 kgEgholm
7
69 kgStites
8
60 kgAnderson
14
82 kgPalamarek
17
61 kgGroube
19
69 kgStrong
20
66 kgIrvine
21
75 kgShigemitsu
35
62 kgFouché
44
71 kgChrétien
50
65 kgMunday
79
57 kgBatt
80
76 kgFoley
81
72 kg
1
69 kgGarrison
2
76 kgHulgaard
3
73 kgBjerg
4
78 kgKron
5
63 kgEgholm
7
69 kgStites
8
60 kgAnderson
14
82 kgPalamarek
17
61 kgGroube
19
69 kgStrong
20
66 kgIrvine
21
75 kgShigemitsu
35
62 kgFouché
44
71 kgChrétien
50
65 kgMunday
79
57 kgBatt
80
76 kgFoley
81
72 kg
Weight (KG) →
Result →
82
57
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCNULTY Brandon | 69 |
| 2 | GARRISON Ian | 76 |
| 3 | HULGAARD Morten | 73 |
| 4 | BJERG Mikkel | 78 |
| 5 | KRON Andreas | 63 |
| 7 | EGHOLM Jakob | 69 |
| 8 | STITES Tyler | 60 |
| 14 | ANDERSON Joshua | 82 |
| 17 | PALAMAREK Ethan | 61 |
| 19 | GROUBE Carne | 69 |
| 20 | STRONG Hayden | 66 |
| 21 | IRVINE Declan | 75 |
| 35 | SHIGEMITSU Jo | 62 |
| 44 | FOUCHÉ James | 71 |
| 50 | CHRÉTIEN Charles-Étienne | 65 |
| 79 | MUNDAY Samuel | 57 |
| 80 | BATT Ethan | 76 |
| 81 | FOLEY Michael | 72 |