STA 6126 – Exam 3 – Spring ‘09
PRINT Name ____________
True or False:
In linear regression, an observation with a ‘high’ leverage value is one whose dependent
variable (Y) is ‘far’ away from the other observations.
In simple logistic regression, e
β
represents how much the odds change multiplicatively
when X increases by 1 unit.
When we plot the residuals from a linear regression model versus X, and observe a ‘U’
shape, then there is evidence that the relationship between Y and X is not linear.
If we fit Backward Elimination with Significance Level to Stay SLS=0.05 and Forward
Selection with Significance Level to Enter SLE=0.05, we will always obtain the same
selected regression model.
When we add new variable(s) to a regression model that do not contribute to the fit using
existing variables, it is possible for MSE to increase and AdjustedR
2
to decrease.
In a simple logistic regression, our estimated probability is 0.5 when X = a/b
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 Spring '08
 YESILCAY
 Statistics, Linear Regression, Regression Analysis, Regression Residual Total

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