These are questions that I need help with. Can you explain to me why they are what they are?

These are questions that I need help with. Can you explain to me why they are what they are? This is my study guide.

Question 1:

With which of the following correlations could you most accurately predict Y from X?

0.8

-0.96

0.5

-0.50

Question 2:

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

Question 3:

The least squares criterion, used to define a regression line, minimizes which quantity?

 i 2

 i i 2

Σ(Y i-Y') 2

Question 4:

The null hypothesis (H0) in a one-way ANOVA for an independent variable with three levels states that

SSerror = SStotal

SSerror = SScondition

 123

12 3 

Question 5:

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

Question 6:

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?

$100,000

$42,000

$70,000

$60,000

Question 7:

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)?

0.333

2.0

200

0.500

Question 8:

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)?

800

500

200

300

Question 9:

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