QMB 3200 EXAM QUSTIONS AND ANSWERS 100% ACCURATEQMB 3200 EXAM QUSTIONS AND ANSWERS 100% ACCURATEQMB 3200 EXAM QUSTIONS AND ANSWERS 100% ACCURATE
Describes a model with a few number of terms - ANSWER-Parsimonious model
True slope of line in simple linear regression - ANSWER-Beta1
A large samp...
# of treatements in ANOVA with 2 factors SEX (M,F) & race (W, NW) - ANSWER-4
Describes a model with a squared term (x2) - ANSWER-Second order model or
quadratic model
, In a general sense, what is a Z-score? - ANSWER-It is a measure of how far from the
mean a value lies, and it is also a measure of how statistically "unusual" an observation
is for a population or sample
When referencing a Chi-Square analysis, the assumption or a large sample is
sufficiently satisfied when: - ANSWER-Expected value in each cell is greater than or
equal to 5
Sum of squared errors - ANSWER-SSE
E(y) - ANSWER-the mean (or, expected value of y)
The null hypothesis for the global F test in regression - ANSWER-Ho: beta 1= beta 2=
beta k=0
A p-value which supports Ha when alpha=.02 - ANSWER-.002
when the relationship between y and x1 depends on x2 - ANSWER-interaction
the object upon which measurements are taken - ANSWER-experimental unit
data sleuth who cant make bricks without clay - ANSWER-Sherlock holmes
Chinese sage who says a picture is worth a 1,000 - ANSWER-Confuscious
Dr. Sinchich says this about a residual plot - ANSWER-no pattern:No problem
From Russia, with theorem - ANSWER-Chebychev
Known as the father of regression for his work with Galton on son's heights - ANSWER-
Pearson
Extrapolation in regression predictions - ANSWER-Predicting outside the data
Start with QN and QN^2 add QL finally add QN*QL interactions - ANSWER-Writing
model 1
Equation of a model with 1 QN and 1 QL that graphs as two nonparallel straight lines -
ANSWER-Beta0 + beta1x1+beta2x2 +beta3x1x2
Divide printout value in half if one tailed leave it alone if two tailed - ANSWER-p-value of
a t-test
Galton's law, it says "tall fathers have shorter sons on average" - ANSWER-Law of
universal regression
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