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Multivariate Funtime
Multivariate Funtime
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Questions
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Answers
1
Which of the following is a
big problem
for correlations and regression?
No multicollinearity
Non-zero variance
Outliers
Homoscedasticity
2
Which of the following is the best definition of a
suppressor variable
?
When the absolute value of a predictor is bigger than the correlation
When the absolute value of a predictor is equal to the correlation
When the absolute value of a predictor is smaller than the correlation
When the absolute value of an outcome is bigger than the correlation
3
The recommended values for
skewness
and
kurtosis
are...
plus or minus 2 and 7
above 2 and 7
plus or minus 7 and 2
plus or minus 3 and 10
4
What type of way to handle
missingness assumes MAR
?
Multiple Imputation
Listwise
Full Information Maximum Likelihood
Pairwise
5
Which of the following best describes a
correlation
?
A ratio of how much they covary together over vary independently
Rise over run
y = mx + b
A ratio of how much they vary independently over covary together
6
Which of the following is the best interpretation for
WARMTH
?
As warmth goes up by 1 SD, hostility goes up by .88 SD
As marital quality goes up by 1 SD, warmth goes up by .88 SD
As marital quality goes up by 1 SD, warmth goes down by .88 SD
As warmth goes up by 1 SD, marital quality goes up by .88 SD
7
Which of the following best describes "
p
"?
It means probability
Likelihood of an outcome
Percent of variance explain by IV or DV
Likelihood of an outcome over repeated events
8
Which of the following best describes the
formula for regression
?
y = mx + b
Yi = b0 + b1Xi
Xi = b0 + b1y1 +ei
Yi = b0 + b1Xi + ei
9
Which of the following is
NOT
an assumption of regression?
Heteroscedasticity of relationships
No multicollinearity
Independent residuals
Linearity
10
This picture represents which
assumption of parametric statistics
?
Heterogeneity of Variance
Normally distributed
Homogeneity of Variance
Equality of residual variances
11
Type 1 Error
is a false positive (saying your pregnant when in fact you are not)
False
True
12
What is the most important implication from the
Central Limit Theorem
?
A large, properly drawn sample can be garbage
A large, properly drawn sample is representative of the population
A sample needs to have at least 300 participants
Everything is about standard deviations
13
What does
Cronbach's alpha
measure?
Test-restest reliability
Criterion Validity
Interrater reliability
Face validity
14
What does
R
2
tell us?
Variance Explained
Variance unexplained
Rise over run
Good to bad data
15
Which of the following best describes
regression
?
Super fancy correlation
Super fancy t-tests
Same as t-tests
Same as correlation
16
What are the
2 collinearity statistics
in regression?
Correlation
R-squared and F-statistic
VIF and Intolerance
VIF and Tolerance
17
What statistics tests the assumption of
independent residuals
?
Durbin-Watson
Bonferonni
Sherlock-Watson
Lavene's Test
18
Why should you use
forced entry
over
stepwise
entry methods in regression?
Because the computer overlords want to rule us
Because we aren't! We should use stepwise, not forced entry
Because we should submit ourselves to our computer overlords
Because Dr. Norton said so and he is the ruler of all statistics
19
What of the following is an
acceptable Cronbach's alpha
?
.001
.05
.61
.75
20
What does the
ANOVA table
tell us in a regression?
Variance explained
A ratio of our proposed model to error
Model outcome
Type 1 error
