Cross-Tabs
Level of measurement for the DV in a mean comparison table
Interval
Expected frequencies
What USS stands for in an ANOVA model
Represented by each dot on a scatterplot
One observation of the data
Best way to present regression results visually
Appropriate way to interpret a cross-tab
Read across the rows
Part of a cross-tab used to calculate expected frequencies
Row and column marginals
How to calculate R-squared from Excel output of an ANOVA model
Between groups sum of squares (ESS) divided by total sum of squares (TSS)
Range of the correlation coefficient (r)
-1 to +1
Number of dummy variables needed for an IV with six categories
Location of independent variable in a mean comparison table
In the rows
Degrees of freedom for a chi square analysis of a 3 by 4 table
Test of significance for an ANOVA model, based on critical values
F-test
Level of measurement required for a correlation model
Column of Excel output to use for determining regression equation
Coefficients
Information needed for each cell in a cross tab
Frequency and percentage
Level of measurement needed for the dependent variable in a chi square model
Categorical (nominal or ordinal)
Interpretation of an R-squared of 0.56
IV explains 56% of variation in the DV
Functions used to calculate correlation coefficient in Excel
CORREL or PEARSON
Interpretation of the coefficient of x in:
y = 3.84 - 1.95x + e
Tool used in Excel to create cross-tabs and mean comparison tables
Pivot table
Determination of significance if chi square is 4.62 and critical value is 5.991
Not statistically significant
ToolPak option used for a basic ANOVA model in Excel
ANOVA: single factor
Strength and direction of relationship with a correlation coefficient of -0.67
Variable that goes into the "Input Y Range" in Excel regression model
Dependent variable