StudyXY
RegisterLog in

STAT 501 � Final Exam � Spring 2015

A final exam testing knowledge of statistical concepts and hypothesis testing.

Charlotte Kelly
Contributor
4.1
54
5 months ago
Preview (3 of 7 Pages)
100%
Purchase to unlock

Page 1

STAT 501 � Final Exam � Spring 2015 - Page 1 preview image

Loading page ...

1STAT501–Final Exam–Spring 20151)(5x2 =10points)State which of the following statements are true and which are false. Forthe statements that are false,explain why they are false.a)In a logistic regression analysis whereY=1represents survival andY=0represents death,the logit of the survival probability is the negative of the logit of death probability.b)In regression analysis, the method ofordinaryleast squares can be used in the presenceof non-normal errors.c)In multiple linear regression analysis, thewidth of aprediction intervalfora futureresponse ofYbased on a single predictorXincreaseswiththe value ofX.d)The error terms in anAR(1) modelhavezero mean.e)In model selection, theMSE(orS) criterion minimizes confidence/prediction intervalwidths, while thePRESScriterion evaluates model unbiasedness.2)(7x2 =14 points)Fill in the blanks withtermsfrom the list:non-normality, multicollinearity,heteroscadasticity,confidenceintervals, predictionintervals.[Note: there are 7 blanks butonly 5terms, so you’ll have to use some terms more than onceand there may be someterms you don’t use at all.]a)A small p-valueforthe Ryan-Joiner test indicatesnon-normality.b)A residual vs.fits plot with a non-random pattern aroundahorizontal lineatzeroindicatesheteroscedasticity.c)A large sample size ensures the validity of a confidence intervalfora mean responseeven when errorsexhibitnon-normalityd)Multicollinearityamong predictors will lead tounreliableconfidence intervalsforregression coefficients.e)Weighted least squares estimation can be used in the presence of errorheteroscadasticityandnon-normality.3)(4x3= 12points)The following ANOVA table is abstracted from a regressionfit tothemodel:Y=β0+β1X1+β2X2+β3X3+ … +β10X10+ε.SourceDFSSRegression10110.53ResidualError2839.47Total38150

Page 2

Page 3

Preview Mode

This document has 7 pages. Sign in to access the full document!

Study Now!

XY-Copilot AI
Unlimited Access
Secure Payment
Instant Access
24/7 Support
Document Chat

Document Details

University
Pennsylvania State University
Course
STAT 501
Subject
Statistics

Related Documents

View all
Solved Assignments

STAT 501 Mid-Term Exam 2 Spring 2015

A mid-term exam assessing statistical analysis and hypothesis testing.

Solved Assignments

The Statistics of Inheritance

Explore how inheritance follows predictable patterns using Punnett squares and probability. This helps explain how traits pass from parents to offspring, aiding our understanding of genetics, variation, and evolution in species.

Class Notes

Estimation and Hypothesis Testing

Learn about Two-Way ANOVA, a statistical method to analyze the effects of two independent variables on one dependent variable. Understand main and interaction effects, assumptions, and how it differs from one-way ANOVA in factorial designs.

Solved Assignments

Lab Activity 5 Sampling Distributions

Practical exercise on sampling distributions and statistical inference.

Solved Assignments

Probability and Statistics Assignment

An assignment covering probability theory and statistical analysis concepts.

Solved Assignments

STAT 250-004 Data Analysis Assignment 4

Solved assignment for STAT 250-004, covering data analysis techniques.

Solved Assignments

Normal Distribution - Amount of Sleep

Application of normal distribution in analyzing sleep data.

Solved Assignments

Correlation and Confidence Intervals

Explores correlation coefficients, confidence intervals, and statistical reliability.

Solved Assignments

Hypothesis Testing � Comparing Two Groups

Examines hypothesis testing methods for comparing two groups.

Solved Assignments

Two-Sample Hypothesis Tests

This document provides solutions for two-sample hypothesis testing problems.