OT 6410 Quantitative Final Study Guide With
Complete Solutions
Purpose of Pearson's Correlation - ANSWER Identify the direction and strength of a
relationship
Assumptions for Pearson's Correlation - ANSWER 2 Variables
Normal Distribution (Shapiro Wilk)
Outliers (visual exam of scatterplot)
Linearity
Variable type(s) for Pearson's Correlation - ANSWER Interval or ratio
Pearson's Correlation: Parametric of Nonparametric - ANSWER Parametric
What do you report in results for Pearson's Correlation? - ANSWER Descriptive data,
results of normality test, correlation coefficient, r, and coefficient of determination, r^2.
What is the correlation coefficient? - ANSWER statistic that describes the relationship
between two variables and tells us the direction (+ or -) and strength (-1.0 to 1.0).
What is the coefficient of determination? - ANSWER Tells us how much variability in IV is
accounted for by DV.
Purpose of Spearman's Correlation - ANSWER Identify the direction and strength of a
relationship
Assumptions for Spearman's Correlation - ANSWER 2 variables
,Can have violations of normality and outliers
Variable Type(s) for Spearman's Correlation - ANSWER Interval or ratio
Spearman's Correlation: Parametric or Nonparametric - ANSWER Nonparametric
What do you report in results for Spearman's Correlation - ANSWER Descriptive data,
results of normality test and correlation test used. Correlation coefficient with p value.
Purpose of point-biserial - ANSWER Identify the direction and strength of a relationship
Assumptions of Point-Biserial - ANSWER 2 variables
Can have violations of normality and outliers
Variable type(s) for Point-biserial - ANSWER One: dichotomous
One: interval/ ratio
Point-biserial: Parametric or Nonparametric - ANSWER Nonparametric
What to report in results for Point-biserial - ANSWER Descriptive data, results of
normality test and correlation test used. Correlation coefficient (rpb), and squared
point-biserial correlation (rpb^2) for percentage of variance.
Purpose of Linear Regression - ANSWER Identify the direction and strength of a
relationship
Adds predication
Assumptions of Linear Regression - ANSWER 2 variables
Linearity
, Outliers
Normal Distribution
Homoscedasticity
PP plots
Variable type(s) for Linear Regression - ANSWER Interval or ratio (IV & DV)
Linear Regression: Parametric or Nonparametric - ANSWER Parametric
What to report in results for linear regression - ANSWER Descriptive data, results of
examination of the assumptions for your analysis, results of your relationship and the
effect, results of regression analysis and your predictor (equation)
What to report for results of regression anaysis - ANSWER F-statistic
Report df for both the model which is under "regression" and then the df of the residual.
Report the F-statistic which is also known as the obtained F-value
Report the significance which is the p value
Purpose of multiple regression - ANSWER Identify the direction and strength of a
relationship
Add predication
Assumptions of multiple regression - ANSWER 3 variables
Linearity
Outliers
Normal distribution
Homoscedasticity
PP plots
Complete Solutions
Purpose of Pearson's Correlation - ANSWER Identify the direction and strength of a
relationship
Assumptions for Pearson's Correlation - ANSWER 2 Variables
Normal Distribution (Shapiro Wilk)
Outliers (visual exam of scatterplot)
Linearity
Variable type(s) for Pearson's Correlation - ANSWER Interval or ratio
Pearson's Correlation: Parametric of Nonparametric - ANSWER Parametric
What do you report in results for Pearson's Correlation? - ANSWER Descriptive data,
results of normality test, correlation coefficient, r, and coefficient of determination, r^2.
What is the correlation coefficient? - ANSWER statistic that describes the relationship
between two variables and tells us the direction (+ or -) and strength (-1.0 to 1.0).
What is the coefficient of determination? - ANSWER Tells us how much variability in IV is
accounted for by DV.
Purpose of Spearman's Correlation - ANSWER Identify the direction and strength of a
relationship
Assumptions for Spearman's Correlation - ANSWER 2 variables
,Can have violations of normality and outliers
Variable Type(s) for Spearman's Correlation - ANSWER Interval or ratio
Spearman's Correlation: Parametric or Nonparametric - ANSWER Nonparametric
What do you report in results for Spearman's Correlation - ANSWER Descriptive data,
results of normality test and correlation test used. Correlation coefficient with p value.
Purpose of point-biserial - ANSWER Identify the direction and strength of a relationship
Assumptions of Point-Biserial - ANSWER 2 variables
Can have violations of normality and outliers
Variable type(s) for Point-biserial - ANSWER One: dichotomous
One: interval/ ratio
Point-biserial: Parametric or Nonparametric - ANSWER Nonparametric
What to report in results for Point-biserial - ANSWER Descriptive data, results of
normality test and correlation test used. Correlation coefficient (rpb), and squared
point-biserial correlation (rpb^2) for percentage of variance.
Purpose of Linear Regression - ANSWER Identify the direction and strength of a
relationship
Adds predication
Assumptions of Linear Regression - ANSWER 2 variables
Linearity
, Outliers
Normal Distribution
Homoscedasticity
PP plots
Variable type(s) for Linear Regression - ANSWER Interval or ratio (IV & DV)
Linear Regression: Parametric or Nonparametric - ANSWER Parametric
What to report in results for linear regression - ANSWER Descriptive data, results of
examination of the assumptions for your analysis, results of your relationship and the
effect, results of regression analysis and your predictor (equation)
What to report for results of regression anaysis - ANSWER F-statistic
Report df for both the model which is under "regression" and then the df of the residual.
Report the F-statistic which is also known as the obtained F-value
Report the significance which is the p value
Purpose of multiple regression - ANSWER Identify the direction and strength of a
relationship
Add predication
Assumptions of multiple regression - ANSWER 3 variables
Linearity
Outliers
Normal distribution
Homoscedasticity
PP plots
