This is what you get when you square the correlation coefficient. correct answers Coefficient of
determination
This is how we would interpret the correlation coefficient of r=9 correct answers very strong
positive correlation
What we need to run in Excel to obtain correlation coefficients between more than two variables
correct answers the data analysis toolpak for correlation
This is what we call the amount of variation in y that is not explained by x correct answers The
coefficient of alienation
How can we determine the significance of the correlation coefficient? correct answers Use a
critical value table (B. 4 in text)
The test statistic for analysis of variance is... correct answers F ratio `
In ANOVA, what hypothesis states there is no difference between the means of the groups.
correct answers null hypothesis
The effect observed between two independent variables on a dependent variable. correct answers
an interaction effect
Test run to determine if the effects of gender and caffeine (before/after) on test performance
correct answers ANOVA: two-factor with replication
To determine whether effects are significant when reviewing ANOVA output in Excel correct
answers - Compare the p value to alpha /significance level
- Compare the F test statistic to the F critical value
This is the null hypothesis for linear regression correct answers The slope = 0
The value of a perfect indirect correlation correct answers -1
This formula is used to predict the dependent variable value from an independent variable value
correct answers y = intercept + slope*x
The error measures how much each data point (on average) differs from the predicted data point
correct answers standard error of the estimate
for every one unit increase In the x, there is a corresponding __________ increase/reduction in
the y correct answers interpreting linear regression result
These are the type of data used to conduct a chi- square test. correct answers nominal data