Skip to main content
(
Log in
)
Side panel
MENU
Dashboard
Home
About Us
About Us
FAQs
The Frank Foundation
Board Members
Publications
Quality Assurance
Guests
Learners
Mentors
Universities
Courses
All Courses
Medicine Courses
Public Health Courses
Community Health Courses
Professional Development Courses
Nursing Courses
Health Sciences
Sciences
Programs
Addiction Training for Health Professionals
Public Health U - MPH
Primary Education STEPS
Humanitarian U
Connect
Contact Us
Volunteer
Careers
Join Our Network
sign up for our newsletter
Donate
Blog
Intro to Statistics
What is Simple Linear Regression?
Read entire page
.
(5 minutes)
Penn State, Elberly College
- 2020
Click
https://online.stat.psu.edu/stat462/node/91/
link to open resource.
◄ Intro to Regression (Video)
Jump to...
Jump to...
Course Registration
Peer Corner
Pre-Test
Fundamentals of The Scientific Approach
What is Ethics in Research and Why is it Important?
Discussion Forum 1
Data and Variables
Definitions, Uses, Data Types, and Levels of Measurement
1.2 Samples & Populations
Levels of Measurement
Notes on Measurement Error
Practices of Science: Precision vs. Accuracy
Reliability and Validity of Measurement
Quiz: Module1: Lessons 1 & 2
Data Sources
Data Collection Methods
Variables in Research
Generating Good Research Questions
Elements of Research
Elements of Research
Chapter 7: Sampling Techniques
Practical Activity 1
Quiz: Module1: Lessons 3 & 4
Quiz: Module 1
Graphing Qualititative Variables
Graphing Qualititative Variables - Graphic Distribution (Video)
Dot Plots
Stem and Leaf Displays
Graphing Distributions - Stem and Leaf Displays (Video)
Histograms
Graphing Distributions - Histograms (Video)
Creating a Frequency Table and its Graphs
Scatter Plot
Line Graphs
Graphing Distributions - Line Graphs (Video)
Run charts
Graphing of Bivariate Data 1
Comunicating Clearly with Graphs and Charts
How to Interpret Scientific and Statistical Graphs
Discussion Forum 2
Quiz: Module 2
What is Central Tendency?
Summarizing Distributions - What is Central Tendency (Video)
Measures of Central Tendency
Measures of Central Tendency (Video)
Mean vs. Median: What do they mean and when do you use them?
Measures of Variability
Graphing Distributions - Measures of Variability (Video)
Variance Demonstration
1.5.2 - Measures of Position
Z-scores: Location of scores and standardized distributions
Normalizing Data
Quiz: Module 3: Lessons 1, 2 & 3
Box Plots
Graphing Distributions - Box Plots (Video)
Adjusted Box Plots, Grouped Mean and Variance (Video)
Practical Activity 2
Basic terminology
Measures of Shape: Skewness and Kurtosis
2.7: Skewness and the Mean, Median, and Mode
Misleading Graphs and Statistics
Bivariate Data 2 (Video)
Control Chart
Discussion Forum 3
Quiz: Module 3: Lessons 4 & 5
Quiz: Module 3
The Fundamental Counting Principle
Probability
Basic Probability Rules
Conditional Probability and Independence
Conditional Probability and Independence (Video)
General Multiplication Rule
Bayes’ Rule for Clinicians: An Introduction
Evaluating Screening Tests
Probabilities with Contingency Tables
Practical Activity 3
Random Variables
Anatomy of a Random Variable
Quiz: Module 4: Lessons 1, 2 & 3
Discrete Random Variables
Binomial Random Variables
The Poisson Distribution
Finding Poisson Probabilities
Continuous Random Variables
Normal Random Variables
The Sandard Normal Distribution
Discussion Forum 4
Quiz: Module 4: Lessons 4 & 5
Quiz: Module 4
Sample Variablility and Sampling Distributions
Introduction to sampling distributions
The Central Limit Theorem
Sampling Distribution of the Sample Mean, x-bar
Practical Activity 4
Quiz: Module 5
Confidence Intervals Introduction
Confidence Interval on the Mean
Proportion
Practical Activity 5
Confidence Interval for Two Independent Samples, Continuous Outcome
Confidence Interval for Two Independent Samples, Dichotomous Outcome
Quiz: Module 6
Introduction: The Logic of Hypothesis Testing
The Logic of Hypothesis Testing - Introduction (Video)
The Elements of Hypothesis Testing
Significance Testing
The Logic of Hypothesis Testing: Significance Testing (Video)
Type I and Type II Errors
The Logic of Hypothesis Testing: Type I and Type II Errors (Video)
One- and Two-Tailed Tests
The Logic of Hypothesis Testing: One- and Two-Tailed Tests (Video)
8.2: Large Sample Tests for a Population Mean
8.4: Small Sample Tests for a Population Mean
8.5: Large Sample Tests for a Population Proportion
Quiz: Module 7: Lessons 1 & 2
9.1: Comparison of Two Population Means- Large, Independent Samples
9.3: Comparison of Two Population Means - Paired Samples
9.4: Comparison of Two Population Proportions
The Chi-Square Distribution
The Chi-Square Distribution (Video)
The Chi-Square Test for Independence
11.3.1 - Example: Gender and Online Learning
The Chi-Square Test for Independence (Video)
11.2 - Goodness of Fit Test
11.2.1 - Five Step Hypothesis Testing Procedure
11.2.1.1 - Video: Cupcakes (Equal Proportions)
11.2.1.2- Cards (Equal Proportions)
Practical Activity 6
Quiz: Module 7: Lessons 3 & 4
Quiz: Module 7
Correlation and causation
Scatterplots and Correlation
Correlation and Simple linear Regession
What is the difference between coefficient of determination, and coefficient of correlation?
12.5: Testing the Significance of the Correlation Coefficient
Discussion Forum 5
Introduction to Linear Regression
Intro to Regression (Video)
Applied Regression Analysis - Lesson 9.1: The Distinction Between Outliers and High Leverge Observations
Quiz: Module 8
Practical Activities.
Discussion Forums
Applied Regression Analysis - Lesson 9.1: The Distinction Between Outliers and High Leverge Observations ►
Intro to Statistics
General
How to create an account and enroll in the course?
Homepage
Module 1: Introduction to Statistics and Research in Health Care
Module 1: Lesson 1: Research, The Scientific Method, and the Role of Statistics in the Health Care Field
Module 1: Lesson 2: Data, Variables, Populations, Samples, and Measurement
Module 1: Lesson 3: Research Design and Data Collection
Module 1: Lesson 4: Randomization and Sampling
Module 2: Graphical Methods of Describing Data
Module 2: Lesson 1: Displaying Univariate Data
Module 2: Lesson 2: Displaying Bivariate Data
Module 2: Lesson 3: Communicating and Interpreting the Results of Graphical Statistical Analysis
Module 3: Numerical Methods of Describing Data: Summary Numbers
Module 3: Lesson 1: Measures of Central Tendency
Module 3: Lesson 2: Measures of Dispersion
Module 3: Lesson 3: Measures of Position
Module 3: Lesson 4: Using Boxplots to Summarize Datasets
Module 3: Lesson 5: Extra Topics on Describing Data
Module 4: Probability, Random Variables, and Distributions
Module 4: Lesson 1: Counting Rules
Module 4: Lesson 2: Probability Basics
Module 4: Lesson 3: Random Variables
Module 4: Lesson 4: Discrete Random Variables and Discrete Distributions of Random Variables
Module 4: Lesson 5: Continuous Random Variables and the Normal Distribution
Module 5: Sampling Distributions
Module 5: Lesson 1: Sampling Variablilty
Module 5: Lesson 2: Sampling Distributions
Module 5: Lesson 3: The Central Limit Theorem
Module 6: Estimation
Module 6: Lesson 1: Estimation
Module 6: Lesson 2: Confidence Intervals on Single Means and Proportions
Module 6: Lesson 3: Confidence Intervals on Differences of Two Means and Proportions
Module 7: Testing of Hypotheses
Module 7: Lesson 1: The Basics of Hypothesis Testing
Module 7: Lesson 2: Hypothesis Testing of the Population Mean and Proportion
Module 7: Lesson 3: Testing Two Samples
Module 7: Lesson 4: Testing with Categorical Variables
Module 8: Introduction to Linear Regression Analysis
Module 8: Lesson 1: Linear Correlation
Module 8: Lesson 2: The Basics of Linear Regression
Final Exam
Course and Self Evaluation & Certificate
Course Activities
Home
