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Rzqust [24]
3 years ago
9

The graph below shows a line of best fit for data collected on the amount of time teenagers spend on the computer and

Mathematics
1 answer:
patriot [66]3 years ago
4 0

Answer:

C) 30 minutes

Step-by-step explanation:

According to the line of best fit, when x=360, y=30, which means that a teenager spends 30 minutes watching television if they spend 360 minutes on the computer.

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The correlation coefficient between two quantitative variables is approximately 0.6. What does the value of this correlation coe
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Answer:

The model does not fits the data well.      

Step-by-step explanation:

Correlation:

  • Correlation is a technique that help us to find or define a relationship between two variables.
  • It is a measure of linear relationship between two quantities.
  • A positive correlation means that an increase in one quantity leads to an increase in another quantity
  • A negative correlation means with increase in one quantity the other quantity decreases.

R-square, R^2

  • The quantity R-squared is an indicator of the predictive power of a model.
  • It explains the variation in the dependent variable due to independent variable.
  • It shows how well the model fits the data.
  • R-squared is also known as the  coefficient of determination.

R^2 = \text{(Correlation coefficient)}^2= (0.6)^2 = 0.36 = 36\%

Therefore, only 36% of the variations in the dependent variable is explained by the independent variable in the model which means more than 50% of variation cannot still be explained in the dependent variable.

Hence, the model does not fits the data well.

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