The numbers 1 through 25 are written in red marker on slips of paper while the numbers 26 through 50 are written with blue marke
1 answer:
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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.
Answer:
Step-by-step explanation:
So we have the two functions:
And we want to find f(g(-2)).
First, let's find g(-2):
Multiply:
Subtract:
Now, substitute:
Now, find the value of f(-20):
Multiply:
Add:
So:
And we're done!