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.
A rhombus is always a parallelogram, hope that helps!
Answer:
The interpretation is that we are 90% sure that the true average salary of the district is in this interval.
Step-by-step explanation:
x% confidence interval:
A confidence interval is built from a sample, has bounds a and b, and has a confidence level of x%. It means that we are x% confident that the population mean is between a and b.
In this question:
The 90% confidence interval for the average salary of the district is [41500,49750].
This means that we are 90% sure that the true average salary of the district is in this interval.
Answer:
22
Step-by-step explanation:
5t=99+11
5t=110
divide both side by 5 to find the value of t
The probability of getting a total of 8 when two dice are rolled is 0.139 when the answer is rounded to three decimal places.
<h3>What is meant by Probability?</h3>
Numerous uses of mathematics' probability formula may be found. Probability can be used, for instance, to determine the likelihood that a certain marketing would really be successful in generating fresh customers. Calculating the likelihood of something happening is another use of probability.
Let's examine what probability is, how to compute the probabilities of single and many random occurrences, and how the terms probability and odds vary from one another.
The likelihood that an event like rolling two dice will occur is determined by probability:
P(A) = f / N
Odds and probability are connected, but the probability determines the odds. Probability is required before calculating the likelihood of an occurrence.
The probability is P(getting a total of 8 from both dices)=5/36= 0.139.
To learn more about Probability, visit:
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