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QMB 3200.docx

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  • QMB 3200

Describes t a t model t with t a t few t number t of t terms t - t correct t answer t Parsimonious t model True t slope t of t line t in t simple t linear t regression t - t correct t answer t Beta1 A t large t sample t - t correct t answer t N t greater t than t 30 # t of t dumy t variabl...

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  • December 27, 2024
  • 7
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • QMB 3200
  • QMB 3200
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edupearl
QMB 3200 EXAM 2024/2025 WITH 100% CORRECT
ANSWERS




Describes a model with a few number of terms - correct answer Parsimonious model
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True slope of line in simple linear regression - correct answer Beta1
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A large sample - correct answer N greater than 30
t t t t t t t t t




# of dumy variables required to represent a QL var at 3 levels - correct answer 2
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Computer software used to generate your project printout - correct answer Statistix 9.0
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ANOVA - correct answer Analysis of Variance
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When 2 or more Independent variable are highly correlated - correct answer What is multicollinearty
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, The coefficient of determination - correct answer R^2
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The tester's choice, usually .05 - correct answer Alpha
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A measure of central tendency in the population - correct answer Mew
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The value of R2 in simple linear regression when x and y are uncorrelated - correct answer 0
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Squared or not, it measures dispersion in the population - correct answer Sigma (SD)
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Decision made about Ho when alpha exceeds the p-value - correct answer Reject Ho
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A type II error - correct answer Accepting Ho when Ho is false
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Rejecting Ho when Ho is true - correct answer Type I error
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In theory, the proportion of 90% CI's for mean that capture the true mean - correct answer 90%
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Unobservable regression error - correct answer Epsilon -error t t t t t t t




# of treatements in ANOVA with 2 factors SEX (M,F) & race (W, NW) - correct answer 4
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Describes a model with a squared term (x2) - correct answer Second order model or quadratic model
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Sum of squared errors - correct answer SSE
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E(y) - correct answer the mean (or, expected value of y)
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The null hypothesis for the global F test in regression - correct answer Ho: beta 1= beta 2= beta k=0
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