2. no number is associated with it
qualitative describes the appearance of sth like it's blue
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:
g (f (-3)) = -9
Step-by-step explanation:
Given:
Graphs of f(x) and g(x) are given
From the given graphs:
Finding g ( f (-3) ):
-----> g ( f (-3) )
-----> g(5)
-----> -9
so,
g ( f (-3) ) = -9
Equation: y=-2x-4
slope: -2
y-int: -4
x-int: -2
Answer:
5/7
Step-by-step explanation:
Simplify by finding common factors and dividing both the numerator and denominator by it.
40/ 56 = 20/28(divided by 2) = 10 / 14 (divided by 2) = 5/7 ( divided by 2)
Hope this helps.
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