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Andreas93 [3]
3 years ago
5

Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about

the explained variation of the data about the regression​ line? About the unexplained​ variation? requals=negative 0.387
Mathematics
1 answer:
LenKa [72]3 years ago
5 0

Answer:

Coefficient of determination = 0.149769  

Step-by-step explanation:

We are given the following in the question:

Coefficient of correlation, r = -0.387

We have to find the coefficient of determination.

Coefficient of determination =

r^2 = (-0.387)^2 = 0.149769 = 14.98\%

Coefficient of determination:

  • It tells us about the variation explained in the model.
  • This correlation of determination tells that 14.98% of the variation is explained in the model that is we can say that the independent variable explains 14.98% changes or prediction in the dependent variable.
  • It ranges from 0 to 1 and a correlation of determination of 1 means that the dependent variable is 100% predicted by the independent variable.
  • Correlation of determination of 0 means that the dependent variable cannot be predicted by the independent variable.
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lutik1710 [3]

Step-by-step explanation:

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a function is something that looks like

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it describes the way to calculate the result for whatever input value you can come up with.

so,

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you could also say

C(d) = 12×d + 8

as, when you rent, you have to pay these $8 in any case, no matter how long you stay, and you need to pay $12 per day you stay.

funny thing is : you understood this perfectly well when doing b.

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the constant rate of change is always the factor of the input variable. here : 12

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