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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,
- 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.
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.
<u>Given</u>:
The given expression is
We need to determine the equivalent expression.
<u>Equivalent expression:</u>
Let us determine the equivalent expression.
The equivalent expression can be determined by simplifying the given expression.
Hence, let us apply the exponent rule to simplify the given expression.
Thus, applying the exponent rule, , we get;
Rewriting the expression, we get;
Simplifying, we get;
Thus, the equivalent expression is
Hence, Option C is the correct answer.