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Emmanuel Patrick Iwe
Добавлен 29 окт 2021
Cejael Research & Consultancy specializes in educational research, journal reviews, and data analysis. For Research work and data analysis Message Cejael Research & Consultancy on WhatsApp. wa.me/message/DJHI2JVDFODKG1
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Or email us at: cejaelresearchconsultancy@gmail.com
Enroll in our online Data analysis class. Join us today on WhatsApp: chat.whatsapp.com/FkTgDCWFB7061NhRhME2Da
How to perform Regression analysis in SPSS with interpretation of Results
🎯 Unlock the Power of Regression Analysis!
In this video, I’ll walk you through a step-by-step guide on how to perform simple linear regression and multiple linear regression using SPSS, with detailed explanations and interpretations of the results.
📊 Whether you're a student, researcher, or data enthusiast, this tutorial will help you understand:
✅ What regression analysis is and when to use it.
✅ Assumptions of regression analysis.
✅ How to analyze your data in SPSS.
✅ How to interpret key outputs like R-Square, ANOVA, and coefficients.
✅ Insights into predicting and explaining relationships between variables.
🎉 Plus, I’m wishing you a Merry Christmas and a Happy New Year in advance!
👉 Don’t for...
In this video, I’ll walk you through a step-by-step guide on how to perform simple linear regression and multiple linear regression using SPSS, with detailed explanations and interpretations of the results.
📊 Whether you're a student, researcher, or data enthusiast, this tutorial will help you understand:
✅ What regression analysis is and when to use it.
✅ Assumptions of regression analysis.
✅ How to analyze your data in SPSS.
✅ How to interpret key outputs like R-Square, ANOVA, and coefficients.
✅ Insights into predicting and explaining relationships between variables.
🎉 Plus, I’m wishing you a Merry Christmas and a Happy New Year in advance!
👉 Don’t for...
Просмотров: 12
Видео
How to apply SMOTE (Synthetic Minority Oversampling Technique) in R
Просмотров 87 часов назад
Are you looking to improve your machine learning models by addressing class imbalance issues? Here, we dive deep into SMOTE (Synthetic Minority Over-sampling Technique), a powerful method for generating synthetic data points to balance datasets and enhance model performance. Whether you're a data science beginner or an experienced analyst, you'll find tutorials, real-world examples, and detaile...
Machine learning Algorithms in R Part 2
Просмотров 119 часов назад
"Welcome to Part 2 of our in-depth series on Machine Learning Algorithms in R! 🌟 In this continuation, we take a step further into advanced techniques and applications, building on the foundational knowledge from Part 1. Learn how to fine-tune models, optimize performance, and handle complex datasets with R. 💻📈 #MachineLearning #DataScience #RProgramming #AdvancedML #AI #EnsembleLearning #Model...
Machine Learning Algorithms in R Part 1
Просмотров 259 часов назад
"Welcome to Part 1 of our exciting series on Machine Learning Algorithms in R! 🚀 In this video, we dive deep into the basics and implementation of four powerful machine learning models: Logistic Regression, Random Forest, XGBoost, and Support Vector Machines (SVM). Whether you're a beginner or looking to sharpen your skills, this step-by-step guide will help you understand the core concepts and...
How to perform MANOVA in SPSS
Просмотров 46День назад
Unlock the power of MANOVA (Multivariate Analysis of Variance) in SPSS with this step-by-step guide! 🚀 Learn how to analyze multiple dependent variables simultaneously and interpret your results like a pro. Whether you're a beginner or refining your skills, this tutorial makes complex statistics simple and accessible. 🎯 Topics Covered: When to use MANOVA Setting up your SPSS dataset Running MAN...
How to perform Aligned Rank Transform (ART) ANOVA in R
Просмотров 40День назад
Looking to analyze nonparametric data with interaction effects? This step-by-step tutorial will guide you through performing Aligned Rank Transform (ART) ANOVA in R. ART ANOVA is an essential technique for researchers dealing with data that violates assumptions of normality and homogeneity of variance. 🔍 What you’ll learn: ✔️ Introduction to ART ANOVA and its applications ✔️ Installing and load...
How to Perform Bayesian Analysis in R for beginners
Просмотров 50День назад
"Unlock the power of Bayesian Analysis in R with this beginner-friendly tutorial! In this video, we break down the fundamentals of Bayesian statistics and guide you step-by-step on how to set up and use R for your first Bayesian model. Whether you're a student, researcher, or data enthusiast, you'll learn how to interpret results, understand key concepts like priors and posteriors, and apply Ba...
How to perform Logistic Regression in R
Просмотров 67День назад
In this video, learn how to perform logistic regression in R step-by-step using a real-world dataset. We’ll cover the basics of logistic regression, its assumptions, when to use it, and a practical example to interpret the results. Perfect for beginners in data analysis! Watch now and enhance your statistical skills!
How to perform Logistic Regression in SPSS
Просмотров 169День назад
In this video, learn how to perform logistic regression in SPSS step-by-step using a real-world dataset. We’ll cover the basics of logistic regression, its assumptions, when to use it, and a practical example to interpret the results. Perfect for beginners in data analysis! Watch now and enhance your statistical skills!
How to perform an Independent Samples T Test in SPSS
Просмотров 16514 дней назад
"Learn how to perform an Independent Samples T-Test in SPSS with ease! 🎓 This step-by-step guide will show you how to compare means between two groups, interpret results, and understand key statistics like p-values and confidence intervals. Perfect for beginners and researchers! 🔍📊 Watch now and master your data analysis skills!"
How to Perform a Wilcoxon Rank Sum Test In R
Просмотров 1521 день назад
Discover how to effortlessly perform the Wilcoxon Rank Sum Test in R with this step-by-step tutorial! Whether you're analyzing non-parametric data or comparing two independent groups, this video provides a clear explanation, real-world examples, and R code walkthroughs to help you master this statistical test. Perfect for beginners and data enthusiasts looking to elevate their statistical skill...
How to perform Analysis of Covariance ANCOVA in SPSS.
Просмотров 5821 день назад
Master Analysis of Covariance (ANCOVA) in SPSS with this step-by-step tutorial! Learn how to set up your data, interpret key outputs, and understand how ANCOVA helps control covariates to uncover meaningful differences. Perfect for researchers, students, and data analysts aiming to enhance their statistical analysis skills in SPSS. Watch now to simplify your data analysis process and improve yo...
How to Run the Shapiro Wilk Normality Test in SPSS
Просмотров 6921 день назад
Want to know if your data follows a normal distribution? In this step by step SPSS tutorial, I will guide you through the Shapiro-Wilk normality test.
How to perform Logarithmic Transformation in SPSS. Fix Skewed Data Like a Pro!
Просмотров 1821 день назад
Struggling with skewed data in your analysis? Learn how to master the art of logarithmic transformation in SPSS! In this step by step tutorial, I will show you what logarithmic transformation is, when to use it and how to apply it to your dataset.
R vs Python for Data Analysis: The Ultimate Guide for Beginners and Pros
Просмотров 44Месяц назад
R vs Python for Data Analysis: The Ultimate Guide for Beginners and Pros
HOW TO OBTAIN MEAN SCORE AND STANDARD DEVIATION FOR LIKERT SCALE DATA IN EXCEL IN 5 MINUTES!!!
Просмотров 1,6 тыс.9 месяцев назад
HOW TO OBTAIN MEAN SCORE AND STANDARD DEVIATION FOR LIKERT SCALE DATA IN EXCEL IN 5 MINUTES!!!
How to run Variance Covariance matrix in R
Просмотров 1,1 тыс.Год назад
How to run Variance Covariance matrix in R
How to Check whether a Sufficient Statistics is Complete
Просмотров 387Год назад
How to Check whether a Sufficient Statistics is Complete
How to run Chi Square Test of Independence in SPSS in 3 MINUTES!!!
Просмотров 4 тыс.Год назад
How to run Chi Square Test of Independence in SPSS in 3 MINUTES!!!
How to create a Contingency table in SPSS
Просмотров 2,9 тыс.Год назад
How to create a Contingency table in SPSS
How to transform large data to smaller Factors in SPSS
Просмотров 438Год назад
How to transform large data to smaller Factors in SPSS
Fastest way to run Two way ANOVA in SPSS
Просмотров 922Год назад
Fastest way to run Two way ANOVA in SPSS
How to run One way ANOVA with POST HOC test in SPSS in 5 MINUTES
Просмотров 1,1 тыс.Год назад
How to run One way ANOVA with POST HOC test in SPSS in 5 MINUTES
How to Code Questionnaire Data in SPSS for beginners
Просмотров 13 тыс.Год назад
How to Code Questionnaire Data in SPSS for beginners
Many thanks for this video
@@modouwade2573 Thanks
What would be the null hypothesis here?
Null Hypothesis will be; There is no significant difference between males and there choice of preferred toyota cars
Bless you sir
@@emekachidube3880 Thank you very much
Simply explained! Great job sir
Glad it was helpful! Kindly subscribe and share
thank you
You're welcome
Here are the codes used in this tutorial: df=read.csv(file.choose(), header=TRUE, fileEncoding="latin1") testdata <- na.omit(df$Score) shapirotest <- shapiro.test(testdata) print(shapirotest) kstest <- ks.test(testdata, "pnorm", mean = mean(testdata), sd = sd(testdata)) print(kstest) ggplot(df, aes(x = Score)) + geom_histogram(aes(y = ..density..), bins = 30, fill = "skyblue", color = "black") + geom_density(color = "red", size = 1) + ggtitle("Histogram with KDE for Score") + xlab("Score") + ylab("Density") qqnorm(testdata, main = "Q-Q Plot for Test_Score") qqline(testdata, col = "blue", lwd = 2) result <- wilcox.test(Score ~ Group, data = df, exact = FALSE) print(result)
Thank you sir, How to calculate r in this example
@@ramnareshyadav3809 Do you mean how to calculate this in R?
Very helpful,thank you
You made my research work easier
You made my research work easier
Tested and trusted. Thank you Cejael Research & Consultancy
Hello, I have 2 questions: 1. are there any nonparametric counterpart of nested analysis in ANOVA? 2. for the random factors, is it possible to analyze a different set of random factors in one fixed factor and another set of random factors in another fixed factor (e.g. Neuron group I fixed factor with random factors of neuron 1, 2, and 3; Neuron group II fixed factor with random factors of neuron 4, 5, and 6)? Thanks a lot
1. There isn’t a direct nonparametric counterpart to nested ANOVA that can handle complex hierarchical or nested structures as standard ANOVA does. However, some alternatives can be useful depending on the specific structure of your data. If your nested structure is straightforward you can use Permutation Tests, Generalized Estimating Equations (GEE) or Generalized Linear Mixed Models (GLMM) or Friedman Test for Nested Designs. 2. Yes, it is possible to have different random effects (or random factors) within different levels of a fixed factor. In mixed-effects modeling, this can be done by specifying nested random effects or interaction terms based on specific fixed-factor levels.
@@emmanuelpatrickiwe Where should I contact you should I need more information about Permutation Tests, Generalized Estimating Equations (GEE) or Generalized Linear Mixed Models (GLMM) or Friedman Test for Nested Designs? Thank you so much for replying. God bless you, Sir
@@ovidhamilton4595Message Cejael Research & Consultancy on WhatsApp. wa.me/2348160043948
Sir, well done, you are the best math teacher in the world. Thank you, may GOD bliss you
Gud job
This is amazing 👏 🤩 🙌 😍, man.
good work boss
Good
it was so helpful. I was searching for this kind of explanation for my paper. here I got it. thank you man.
You are welcome
Just what I needed. Thanks 🙏
Please help me us your data to practice. Thank you🌹
Awesome❤❤❤❤
Thank you, this is good.🙏
I have a question, can you help me with a solution?
Alright, what's the problem?
More grace, sir.
brother cor command is for correlation
Hi Emmanuel, Thanks for this video. If my data starts in 2nd or 3rd quarter, how do I specify that? Also, if I have 5 or 6 variables in my dataframe, how to make them all ts object?
If your data starts from the second quarter you can specify it using the start start. START = c(year, 2), frequency = 4
You can use the lapply function for more than one variable, data_ts<- lapply(your data[, 1:5], function(col), {ts(col, start=c(start year, quarter), frequency = quarter)})
Thank you professor
Thank you professor for excellent explanation
Glad i could help
100th Like! 😀
Hi Emmanuel, thanks for the informative video. I'm new in r and self-learning. I want to make time series graphs using ggplot2 and I have weekly data such as 2023-06-20, 2023-06-28 etc. I want to make a plot showing the date as it is with an interval of two weeks. Pls any guide, syntax or tips on how to go about it?
you need to format your data as a dataframe not a time series or 'ts' object.😀
wonderful video,can you make video on Garch model
Alright i will get on that ones am through with the project i have on ground.
I have daily data of three variables with some missing dates(data on some dates are not available so i remove theses dates),now what is the r code to make it time series,as first column is date column and other three are variable
what are basic temporal statistical summaries in time series?
Thank you I got it.
Glad i could be of help
I have watched Ur vedios,SPSS and R they are brief but with much information. Kudos.. I would like here from you on nested ANOVA
Alright then, you will get that soon
i needed this thank you
How can I reach you for more help?
Send me a mail at emmyzone4life@gmail.com
how can i get the NSE market price Data for my research?
For Nigeria you can go to ng.investing.com/indices/nse-all-share-historical-data
This is well explained. Thank you Emma. Can you use scan()to read your data? what if you are trying to import the date using the Link for the data source? Finally, I would like to chat with you personally. Can you send me your Whatsapp number? Thank you.
Sure you can use it, but your data will be imported as vector after which you can convert the data to any form. x <- scan("stats.idre.ucla.edu/stat/data/scan.txt", what = list(age = 0, name = "")))
08160043948
Job well done
Thank you
I can I found the data
The data used for this tutorial is no longer in my possession. You can always get sample data online
great video, very simple and straight to point❤💘❤❤❤❤❤
Thanks
great video
Thanks
Thanks. Could you please attache the data you used?
drive.google.com/file/d/1BpQ1HroMCopsExYEVttIs1YBPykZHFiv/view?usp=drivesdk
I didn't get the function you used after adding smoking to get the multiple regression
At last in box.test why lag= 5
Thanks alot for your perfect explanations, can I reach out privately for more explanatory videos.
I'm in
Me too
Yes, sure
Thank you Emmanuel, this video helped me a lot!
Glad to hear that!