The answer is A, because 43 of the flights were from UA and were on time, this is out of a whole of 87 flights.
The assumptions of a regression model can be evaluated by plotting and analyzing the error terms.
Important assumptions in regression model analysis are
- There should be a linear and additive relationship between dependent (response) variable and independent (predictor) variable(s).
- There should be no correlation between the residual (error) terms. Absence of this phenomenon is known as auto correlation.
- The independent variables should not be correlated. Absence of this phenomenon is known as multi col-linearity.
- The error terms must have constant variance. This phenomenon is known as homoskedasticity. The presence of non-constant variance is referred to heteroskedasticity.
- The error terms must be normally distributed.
Hence we can conclude that the assumptions of a regression model can be evaluated by plotting and analyzing the error terms.
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Answer: they are both the same fraction
Answer:
7
Step-by-step explanation:
Answer:
For 1 there is causationand there is correlation because they found that if people have a higher income, they will buy a more expensive plan so one cause another
the second question, there is no correlation because it doesn’t matter how many samples they provide, people still buy the same amount