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Correlation and Regression Analysis using SPSS and Microsoft Excel

Home EventsCorrelation and Regression Analysis using SPSS and Microsoft Excel

Correlation and Regression Analysis using SPSS and Microsoft Excel

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-980Days -11Hours -44Minutes -49Seconds

ABOUT THE COURSE

This course will provide a set of foundational statistical modeling tools for data Analysis using SPSS and Microsoft Excel, students will be introduced to methods, theory, and applications of linear statistical models, covering the topics of simple linear regression, Multiple linear regression, logistic regression, goodness of fit, and various strategies for variable selection and model comparison. Along the way, you’ll be introduced interpreting data and performing calculations on real data from published studies.

WHAT YOU WILL LEARN

• interpret the coefficient of correlation, the coefficient of determination

• Conduct a test of hypothesis to determine whether the coefficient of correlation in the population is zero.

• interpret the multiple standard error of estimate, the coefficient of multiple determination, and the adjusted coefficient of multiple determination

• Conduct a test of hypothesis to determine whether regression coefficients differ from zero.

• Conduct a test of hypothesis on each of the regression coefficients.

• Evaluate the performance of the regression model and make predictions based on the selected model

WHO THIS COURSE IS FOR?

✓ Students and researchers looking to master SPSS skills and publish in high impact journals

✓ Professionals looking for a career in analytics in corporate sector

✓ Faculty members and teachers looking to master SPSS and advance their data analysis skills

✓ Research institutions and NGOs

✓ Anyone involved in Data Management and Data Analysis

COURSE OUTLINE

Model 1: Measures of Associan

Unit 1:Pearson’s correlation

Unit 2: Spearman Rank Correlation

Unit 3: Chi-square

Model 2: Statistical model fitting

Unit 1:Simple Linear regression

Unit 2: Multiple Linear Regression

Unit 3: Logistic Regression

DURATION

This is 6 days training program at evening (4 pm – 7pm) and the schedule will be as follows.

Start date: 8 Feb 2023 End date: 17 Feb 2023
Day / Week Wednesday Thursday Friday
WEEK ONE 08/02/2023 09/02/2023 10/02/2023
WEEK TWO 15/02/2023 16/02/2023 17/02/2023

COURSE FACILITATORS

1. MOHAMED ABDULLAHI MOHAMED

Bachelor of Applied Statistics Master of Applied Statistics

2. AWEIS ABDULLAHI HERSI

Bachelor of Econometrics and Social Statistics Master of Science in Statistics.

Both of the facilitators are statistician and research practitioner with more than 8 years as well as certified trainers. Holistic knowledge of data analysis packages like MS Excel, SPSS, E-views, R, STATA, QDA, and Nvivo , as well as questionnaire designing platforms, ODK/KOBO Collect and Survey Solution.

COST

The course fee is $50 per person (course materials, refreshment & certificate).

NOTE: All participants are encouraged to bring their own laptop.

 

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