Bivariate Analysis Meaning | Statistics Tutorial #19 | MarinStatsLectures
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- Опубликовано: 11 сен 2024
- Bivariate Analysis Meaning: Learn about Bivariate Analysis, Independent (Explanatory) and Dependent (Outcome) variables Overview with examples; 👍🏼Best Statistics & R Programming Tutorials: ( goo.gl/4vDQzT )
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▶︎ In this statistics tutorial, we provide a big-picture overview of bivariate data analysis in statistics. This video is intended to set up all of the bivariate analysis that follows.
▶︎ Our approach is to divide methods of analysis based on the type of Dependent or Outcome (Y) variable and the type of Independent or Explanatory (X) variable. That is, deciding whether our X and Y variables are numeric (quantitative, continuous) or categorical (qualitative, factor), can help us decide which types of plots (graphical summaries) are appropriate, as well as which sorts of analyses may be appropriate.
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► Statistics Course for Data Science bit.ly/2SQOxDH
►R Course for Beginners: bit.ly/1A1Pixc
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►Graphs and Descriptive Statistics in R using R Studio (Series 2): bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using R Studio : bit.ly/2zBwjgL
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Oh my God, thank you so much for your concise yet detailed explanation Prof. Martin! These videos of yours really help me in statistics. God bless you!
Waaaay underrated video. Ty so much
1+ subscriber from India
This video is just perfect. Very well explained, very structured and just simply clear. Thank you.
This man is extremely wonderful. Thank you, Marin.
Thank you thank you thank you. I am in graduate school and taking statistics for the first time, in my second language, and don't understand anything. Your videos are clear and precise and to the point! If I survive stats it will be because of these
Wow, the first simplified explanation I have come across on this topic so far...awesome work! Thank you so much!
great to hear :)
The first video that has made sense to me in a long time!!
this was really well thought out video. I liked how you provided how to visualize the data and what test could be used. Extremely well planned. Thank you making this video.
Thanks. I'm taking a Psych research class & I just wasn't getting it. So, this is setting the foundation for the online class I'm taking. I will be adding your channel to my feedback for the Curriculum & Instruction Designers at my university to add this to the lessons. Just reading in online classes with a subject like statistics & research is not enough.
i know it is kinda off topic but does anybody know of a good website to stream new movies online ?
@Rocco Leland I watch on FlixZone. Just search on google for it =)
@Elias Killian Definitely, been watching on FlixZone for years myself :)
@Elias Killian Thanks, signed up and it seems like a nice service :D I appreciate it!
@Rocco Leland You are welcome xD
awesome visual presentation for us visual learners!
Nice information, Mike Marin u r awesome
love this
amazing
wow this is sooo good. very simple and easy to understand. but I am not ready for the outro lmao
Good explanation. Thanks !!
Very helpful, Keep it up Sir.
thanks :)
Hi Prof. Marin. I wanted to ask you whether you covered already multivariable analysis methods and statistical modeling. I could not find these video at your webpage.
Hi Mike, Are you going to provide any videos related to machine learning in future?
Is my dude writing backwards? Damn!
writes normally then mirrors video?
you make me a video on how you leaned to write in reversal.
Lol, the image is flipped/mirrored...I’m not writing backwards...but lots of people think I am ;)
Thanks for the video, great stuff? Do you have one explaining the analysis for combining both num and cat variables for X to predict either num or cat for Y (which you typically find as a data science problem)?
Yes, that would be linear regression (for Y being NUM) and logistic regression (for Y being CAT). I’m uploading an entire course worth of videos that covers that, and more. I’ll be adding the rest of the lectures over the next week. Link to the playlist is here: ruclips.net/p/PLqzoL9-eJTNBDAG955KrzpduiPCj8-_3m
@@marinstatlectures The Linear Regression and Logistic Regression are both Statistics concept found in Machine Learning, are you going to do some lectures about Machine Learning as well?
Which tests to use for a very large sample of N=2000?
It’s mostly not about the sample size, but it depends on the types of variables you have and what it is you want to test…
if X is continuous and Y is categorical what test we do
I’d use logistic regression there, although there are other approaches that would be reasonable
1. (a) You are currently interested in examining the factors that influence the performance
of Cooperative Societies in Ijebu North LGA, Ogun State and you have analysed you
data and generated the following result.
CoopPerf=2.824
+1.453X₁+0.845X2-0.567X3
[1.586] [0.245] [0.387]
[1.845]
R²=0.7568; Fcal = 6.896, n=50 and alpha -5%
(the figures in parentheses are standard errors)
Note:
- total capital of the cooperative society
- total loans granted to members
- Location of Cooperative society, where : Urban =1 and rural -0
CoopPerf-Cooperative society performance.
X₂
X3
Required:
(a) Give a comprehensive interpretation of the result.
(b) What conclusion can you draw from the study?
(c) What are your recommendations?