Linear Regression Analysis in SPSS, How to run Regression in SPSS (Lesson 9)
HTML-код
- Опубликовано: 1 июл 2024
- Mastering Linear Regression Analysis in SPSS: Step-by-Step Guide"
Description:
Unlock the full potential of linear regression analysis in SPSS with our comprehensive tutorial. Linear regression is a powerful tool for understanding and modeling the relationships between variables, and this video will guide you through the process, step by step.
In this video, we'll cover the following essential topics:
🔹 Introduction to Linear Regression: A clear and concise explanation of what linear regression is and when to use it.
🔹 Data Preparation: Learn how to format your data in SPSS for linear regression analysis.
🔹 Running Regression Analysis: A detailed, step-by-step guide on how to perform linear regression in SPSS, including model setup and interpretation of results.
🔹 Assumptions and Diagnostics: Understand the assumptions of linear regression and how to diagnose potential issues.
🔹 Interpreting Regression Coefficients: Learn how to interpret the coefficients and what they mean for your data.
🔹 Data Visualization: Tips for creating informative charts and graphs to complement your analysis.
By the end of this tutorial, you'll have the knowledge and confidence to perform linear regression analysis in SPSS, making it an invaluable skill for your research and data analysis projects.
Don't forget to like, subscribe, and share this video with your fellow data enthusiasts and researchers. #LinearRegression #SPSSAnalysis #RegressionAnalysis #DataAnalysis #RegressionModel #Statistics #SPSSTutorial #DataPreparation #DataInterpretation #DataModeling #ResearchMethods #StatisticalAnalysis #RegressionDiagnostics #DataVisualization #RegressionCoefficients #ResearchSkills #DataInsights #DataPatterns #SPSSForResearchers #AcademicResearch #StatisticalModeling
This video explains the following topics:
What is linear regression?
What is simple and multiple regression?
Regression analysis interpretation
Regression analysis definition
Regression analysis SPSS
What are the important values to interpret in linear regression?
How to calculate R square
How to calculate F- statistics
How to calculate Beta
How to calculate T-Statistics
How to run T-test
How to run the F test
How do we use SPSS to calculate linear regression?
Thanks for the video - if only I had someone to assist with the data analysis using SPSS. 😂😂😂
Sir, you have a knack of making complex into simple
Thank You
Your videos are amazing! thank you so much.
Glad you like them!
@@TheConceptsbyDrAtifBilal do you have any video about computing two variables into one with do if?
A questionnaire with two sub scale measured similarity to two different things. Now the end variables depends on those two. So we can categorize the depended variable in to 4 section. I need to assign 1 or any number to low on two variables (values: )1-174) , low in one and high in the other variable, and high in both. ( 4 sections as the dependent variable)
If x is low and y is low, then it’s called a
If x is low and y is high, then compute it as b
If x is high and y is low, then comput those values to c
If both x and y are high, then compute the values as d for those samples.
Thanks
Dr Atip, thank you for sharing this video. I have tried it out. You mentioned that most important is the sig cannot be more than 0.005. What if I got 6 independent variables showing sig with more than 0.005. What does it mean by not significant if sig is more than 0.005? For this case, is that means the 6 independent variables do not link to the dependent variable? Please advice. Thank you.
First, it is 0.05... not 0.005... and yes no value is significant, you need to try each IV separately.
Very good
Thanks
@ Dr Atif sir is it necessary to check univariate and multivariate outliers in our data set before going for final analysis
If you are using the Liker Scale, then it is not required. Suppose the answers were only from 1 to 5... then there there is no need, but just check if there is any typo.
Thank you so much for this wonderful lecture. Pls is there a way you can make a video on predicting students academic performance using some course in this linear regression. Thank you
Thank you, Will try uploading it.
Would you plz put the link of SPSS to download !
Dear sir, i am using correlation and regression analysis in my research but the sig. value in correlation is not significant (not less than 0.05) but correlation is positive and also the sig. value of regression analysis next to F-stat is 0.061 which is not significant either. Therefore model is not fit. Shall i carry on with my analysis and accept null hypothesis? or what? can you please help?
Also i have done test for normality and skewness and kurtosis, everything is in range and data is normally distributed. your videos are really helpful. Can you please clarify my doubts? I will be really grateful to you. Thanks!
You can I crease some sample I am sure things will be ok.
Dear sir what is the different between unstandardized coefficient beta and standardized coefficient beta? Nd also which value is taken while accepting/rejecting a hypothesis?
Unstandardized one
What about subscales of one dependent variable and one independent variable?how can we run regression then?
If you want to do linear regression, then place all subscales as separate variables in independent variable window and test them separately with each subset of dependent variable. It means all independent variables with one dependent variable at one time.
Thank you for this video. I'm currently doing my dissertation and all of your videos related to the SPSS have helped me a lot. I have one doubt: I have 4 independent variables(Green marketing mix elements) and 1 dependent variable (consumer purchase intention). While performing correlation and regression for all the elements of the green marketing mix and consumer purchase intention together, there is a contradiction for the variable “Green Place” in terms of positive and negative relations. For regression, I followed the "Enter" method.
Green Place with consumer purchase intention: r=0.531, p-value=
One option is that you run separate regression for each IV. Then the values will be ok.
Otherwise with multiple regression this will happen. You can simply reject the hypothesis and say that future research should look into this IV for more understanding, or find a reason that in your sample or context it behaves differently
Okay. Thank you so much. This means a lot.
Hello Sir, Just Wanted to ask one simple thing that how you have converted a bunch of questions in one category into a single scale?
ruclips.net/video/7g5Ijuh3aHw/видео.html
sir if i have 2 independent variable and 3 dependent variable how to analyze
Put 2 independent variables with each dependent variables. It means you will be running 3 regressions, each time changing your dependent variable.
What is the best way to import tables from SPSS to the research paper?
ruclips.net/video/Iu6p7P2JJsI/видео.htmlsi=BW2q6Xf2fyRJVPcD
Hi Sir.
Now I am getting my all values Perfect but Sir my constant value is not significant it is .986 so as you said that we will not focus on constant value we will focus on just T-value my T-value is positive and significant as well but constant value is in negative and not significant so sir tell me is it a big problem or should i have to ignore it...????
That is totally ok. You do not even report constant values... Constant value means that if there are no independent variables even than there will be some level of the dependent variable..
Like if you are checking the relationship of income and expense ... even when there is zero income there are some expenses...
so you can ignore the constant value.
@@TheConceptsbyDrAtifBilal Thank you so much sir for your guidance.