multiple regressions

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7 Terms

1
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<p>what are IV and DV?</p>

what are IV and DV?

  • IV: training hours, scores on thechnique, scores on tactics, scores on motvation, game experience

  • DP: succesfull shots

2
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<p>what do we wanne see?</p>

what do we wanne see?

How much impact each of the IV has on the DP (succesfull scores)

3
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<p>what test needs to be used?</p>

what test needs to be used?

multiple regression

4
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<p>what does this graf tell u?</p>

what does this graf tell u?

a significant regression was found (F(6, 23)= 83,05, p<0.05)

5
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<p>what does this graf tell u?</p>

what does this graf tell u?

The model explains 96% OF THE VARIANCE IN SCORE (R2= 0.96)

6
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<p>what does this graf tell u?</p>

what does this graf tell u?

The predicted number of successful shots equals 9,004 + 9*(training hours) + 0.003* (techniaue) - 0.002* (motvation)+ 0.316*(tactics)+ 0.387*(dummy comp1) + 1.729 (dummycomp2). The number of successful shots (score) increases by 9 with each additional hour of training (p<0.05). All other IV did not significanty contribute to the prediciton

7
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<p>What can you do with this inforamtion?</p>

What can you do with this inforamtion?

predict score of a player

<p>predict score of a player</p>