With which of the following correlations could you most accurately predict Y from X?
Which of the following conclusions is valid if all you know is that IQ and memory scores are correlated at r=0.84?
good memory causes good IQ
IQ and memory are positively correlated
IQ and memory are both caused by a third variable
good IQ causes good memory
The least squares criterion, used to define a regression line, minimizes which quantity?
i i 2
Σ(Y i-Y’) 2
The null hypothesis (H0) in a one-way ANOVA for an independent variable with three levels states that
SSerror = SStotal
SSerror = SScondition
What values make up the total sum of squares in a one-factor between-subjects ANOVA?
sum of squares for treatment condition + sum of squares for error
sum of squares for error only
df for treatment condition + df for error
sum of squares for treatment condition only
A regression analysis is performed on a set of paired scores of annual income and years of schooling. The resulting regression equation is Y’=40000+2000(X). What is the predicted annual income for someone with 15 years of schooling?
In a regression analysis, the sum of squares for the predicted scores (SSY’) is 100 and the total sum of squares (SSY) is 300. What is the proportion of the variance in Y explained by X (r2)?
For a particular regression, the sum of squares for the predicted scores (SSY’) =300 and the sum of squares error (SSE)=500. What is the total sum of squares (SSY)?
An experiment is conducted with 5 treatment conditions and 6 subjects in each condition for a total N of 30. The data are analyzed with a one-factor ANOVA. What are the dfnumerator and dfdenominator?
dfnumerator = 25, dfdenominator = 4
dfnumerator = 4, dfdenominator = 25
dfnumerator = 5, dfdenominator = 6
dfnumerator = 4, dfdenominator = 30