Multiply the numerators together and the denominators to get the ending fraction.
Ex: 3/4 x 3/4 = 9/16, and simplify if needed.
Answer:
J
Step-by-step explanation:
if you multiply any number by a number lower than 1, then the value lowers. J is the only thing that has both numbers greater than one
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:
A.
Step-by-step explanation:
The hands on the clock at 9.00
