Course Description

This course provides an in-depth understanding of regression and correlation methods, focusing on statistical modeling, estimation techniques, and inferential procedures. Participants will engage in practical applications relevant to research and industry.

Learning Outcomes

• Understand key regression and correlation concepts.
• Apply the least squares method for fitting regression lines.
• Perform statistical inference on regression parameters.
• Assess the goodness of fit for regression models.
• Analyze correlation coefficients and their statistical significance.
• Implement multiple regression analysis.
• Interpret rank correlation and interval estimation techniques.

Course Structure and Content

Day	Topic
Day 1	General Concepts & The Method of Least Squares
Day 2	Inferences About Parameters from Regression Lines & Interval Estimation for Linear Regression
Day 3	Assessing the Goodness of Fit of Regression Lines & The Correlation Coefficient
Day 4	Statistical Inference for Correlation Coefficients, Multiple Regression, & Rank Correlation
Day 5	Applications with R

Teaching and Learning Strategy

• Interactive lectures with case studies.
• Hands-on statistical analysis using real data.
• Collaborative problem-solving activities.
• Self-paced learning with additional resources.

Assessment Strategy

• Practical statistical analysis exercises (30%)
• Conceptual quizzes (20%)
• A case study-based project (50%)
• Participants scoring 70% or above will receive a Certificate of Completion.

Certification and Career Opportunities

Upon completion, participants will receive a digital and printed certificate from GLOBALSTAT INTELLIGENCE SOLUTIONS. This course enhances career prospects in data science, econometrics, and health research.

Contact Information

Email: train@globalstatsol.com

Website: https://www.globalstatsol.com

Enrolling

Click below to enroll in this course.