Answer:
5/6
Step-by-step explanation:
A dice has 6 faces.
The probability that the dice would land on 4 after one roll is 1/6.
The probability that the dice would NOT land on 4 after one roll is
1 - 1/6
= 5/6
Freds employer deducts $77.25 from his monthly paycheck :)
20 divided by 2 = 10 x (5 + 5) = 10 x 10 = 100
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.
Learn more about regression model here
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