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timama [110]
3 years ago
7

Help me plzzzzzzzzzz help me

Mathematics
1 answer:
Artist 52 [7]3 years ago
7 0
C.)- What kind of computer do people prefer? The reason this is the answer is because there are multiple answers to this. One person could say I like this computer and another person could say I like this computer. The way to know if it's a statistical question is if there are many answers to the question.
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Assumptions of a regression model can be evaluated by plotting and analyzing the ____________
Gala2k [10]

The assumptions of a regression model can be evaluated by plotting and analyzing the error terms.

Important assumptions in regression model analysis are

  1. There should be a linear and additive relationship between dependent (response) variable and independent (predictor) variable(s).
  2. There should be no correlation between the residual (error) terms. Absence of this phenomenon is known as auto correlation.
  3. The independent variables should not be correlated. Absence of this phenomenon is known as multi col-linearity.
  4. The error terms must have constant variance. This phenomenon is known as homoskedasticity. The presence of non-constant variance is referred to heteroskedasticity.
  5. 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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The graph shows the functions f(x), p(x), and g(x):
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