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 + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Ariesen
1
70 kgBallerini
2
71 kgStępniak
3
75 kgGradek
4
83 kgBernas
8
77 kgZieliński
9
61 kgMorajko
10
65 kgTedeschi
12
69 kgMatysiak
13
71 kgJurčo
14
69 kgStachowiak
15
62 kgKoch
18
75 kgPodlaski
22
68 kgHonkisz
26
61 kgPrevar
29
64 kgPettiti
31
71 kgFranczak
33
63 kgAverin
36
74 kg
1
70 kgBallerini
2
71 kgStępniak
3
75 kgGradek
4
83 kgBernas
8
77 kgZieliński
9
61 kgMorajko
10
65 kgTedeschi
12
69 kgMatysiak
13
71 kgJurčo
14
69 kgStachowiak
15
62 kgKoch
18
75 kgPodlaski
22
68 kgHonkisz
26
61 kgPrevar
29
64 kgPettiti
31
71 kgFranczak
33
63 kgAverin
36
74 kg
Weight (KG) →
Result →
83
61
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARIESEN Johim | 70 |
| 2 | BALLERINI Davide | 71 |
| 3 | STĘPNIAK Grzegorz | 75 |
| 4 | GRADEK Kamil | 83 |
| 8 | BERNAS Paweł | 77 |
| 9 | ZIELIńSKI Kamil | 61 |
| 10 | MORAJKO Jacek | 65 |
| 12 | TEDESCHI Mirko | 69 |
| 13 | MATYSIAK Bartłomiej | 71 |
| 14 | JURČO Matej | 69 |
| 15 | STACHOWIAK Adam | 62 |
| 18 | KOCH Jonas | 75 |
| 22 | PODLASKI Michał | 68 |
| 26 | HONKISZ Adrian | 61 |
| 29 | PREVAR Oleksandr | 64 |
| 31 | PETTITI Alessandro | 71 |
| 33 | FRANCZAK Paweł | 63 |
| 36 | AVERIN Maksym | 74 |