<Correlation coefficient> Descriptive study of bivariate data Univariate: score, height, number of heads, Bivariate: (height, weight), (age, income), Data: ( X 1 , Y1 ), ( X 2 , Y2 ),K , ( X n , Yn ) Purpose of collecting bivariate data - Are the variable
STAT 6220 (Spring 2011) Homework 1 due on February 1 (By hand) (Use .05 for all testing problems)
1. The accompanying data on x = treadmill run time to exhaustion (min) and y = 20km ski time (min) was taken from the article Physiological Characteristic an
STAT 6220 (Spring 2011) Homework 2 due on Feb 8.
1. By hand (Continued from homework 1) The accompanying data on x = treadmill run time to exhaustion (min) and y= 20km ski time (min) was taken from the article Physiological Characteristic and Performance
Tables
T-11
Probability p
Table entry for p and C is the point t with probability p lying above it and probability C lying between t and t . TABLE D
t*
t distribution critical values
Tail probability p
df 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Chapter 3. Model Selection
1. Introduction
Insomesituations,thereisalargenumberofexplanatoryvariableswhichmayormaynot relevantformakingpredictionsabouttheresponsevariable. Itisusefultobeabletoreducethemodeltocontainonlythevariableswhichprovide important
1. HO: Political party and sex are independent; the conditional probability of party
identification is the same for both genders
HA: Political party and gender are associated; the conditional probability of party
identification is different for male vs. f