Answer: C
Step-by-step explanation: If this is drawn to scale, 12 15 and 30 make absolutely no sense, because if you multiply any of those numbers by 5 your gonna get a number bigger than 60.
Therefore, 6 is the answer
She has driven for about 1 hour and 28 minutes
Hi the answer for your question is 34
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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