We have different values asociated here, but easly we can also start
calculating the confidence level from a lower value.
We can define a confidence level of x%, then the asociated level of significance will be
Here for 
Defining the p-value as 0.052 we have a range between the test reject,
that is,
, for the p-value
But when we do the calculation we note that if 
; the test reject 
That's mean that the asociated confidence interval won't contain 0.
Evaluating for the value of 90 and 94, 90 causes the hypothesis to be rejected immediately, but 94 does not.
The lowest number for this approximation in the response ranges should be the number immediately above 90%, that is, the answer is 94%.
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.
The correct is 44 because you estamate and 48 is close to 44
Answer:
120% increase
Step-by-step explanation:
