This was SO helpful! It's amazing how much information you can pack into an 8 minute video. Your explanations were clear, concise, and easy to process. Thank you!!
Wow, this video explained linear regression so clearly! I've been struggling to grasp this concept, but your explanation really made it click for me. Thank you so much, Joshua Emmanuel! Your dedication to educating young black people like me is inspiring. Please keep up the fantastic work - we need more educators like you empowering us to excel in these fields! 🙌💯
Thank you so much sir, but im unclear about 3:52, in the question it is stated as 10 years but while solving you used 96 months which was 8 years based on the conversion
Prof Emmanuel to the rescue! I was trying to figure out what were these coefficient β that were pulled out of nowhere in my chapter about Design of Experiment
When the p-value for a dummy variable is greater than 0.05, while the p-values for other variables are less than 0.05, the interpretation is as follows: 1. The dummy variable is not statistically significant at the 0.05 level in predicting the dependent variable. 2. This suggests that there is no significant difference between the categories represented by the dummy variable in terms of their effect on the dependent variable. 3. The other independent variables with p-values less than 0.05 are considered statistically significant predictors of the dependent variable.
7:03; if you’re testing whether the coefficient is positive or negative, then it is a one tailed test. If you’re simply testing for significance (without a specified direction), then it is a two-tailed.
Hii, if i have a model that as a whole is not significant, but one of the independent variables is significant, can i still report the result just for that indeoendent variable?
Thank you for the explanation, it is very clear and helpful! I have a question what should I do if some of the parameters for example maintenance of the house depend on price,room numbers or region but not directly? is it correct to make this type of analysis with such parameters?
Don't understand y u use the student t test instead of the z test to construct the 95% confidence interval since the sample size was large thus greater than or equal to 30 and the standard error of population given
People use Z when sample is large just as an approximation since t-tables may not include large t values. Also note that the standard error is based on the sample, not population.
At 3.49, Actual value of Age coefficients is 1.35. At 95% confidence, Age values interval is between -3.8 to 6.6. It means our regression coefficient from -3.8 to 6.6 is allowed or what?
You will say you are 95% confidence that the true Age coefficient lies between -3.8 and 6.6. That is, with repeated sampling, you expect the true Age coefficient to be somewhere between those two values in 95% of the samples. You can look up definition of confidence intervals to learn more.
Thanks for the video! I have a question. When testing the significance of predictor variables, we used Beta not equal to 0 as Ha, but for Distance, we used Beta < 0. Just like Distance, can we use Beta > 0 for the other independent variables? If yes, can we also use Beta not equal to 0 for testing the significance of Distance?
Thank you for these videos I have on question how to a form product dd for the least period is given below period dd period 1,2,3,4,5,6,7,8,9 dd 44,52,50,54,55,55,60,56,62 develop a linear trend equation ,predict the dd value for the next period and find the regression equation solution
Simple Linear Regression Problem Solved - th-cam.com/video/cMZBOm7XMls/w-d-xo.html
This is by far the best multi regression video I have seen
Thanks for the clear and straight-to-the-point video. No lengthy intro and outro, but short with examples and visualizations. Great!
Thanks for the feedback, Cheeseopedia.
Glad you like it.
This was SO helpful! It's amazing how much information you can pack into an 8 minute video. Your explanations were clear, concise, and easy to process. Thank you!!
🙏
Wow, this video explained linear regression so clearly! I've been struggling to grasp this concept, but your explanation really made it click for me. Thank you so much, Joshua Emmanuel! Your dedication to educating young black people like me is inspiring. Please keep up the fantastic work - we need more educators like you empowering us to excel in these fields! 🙌💯
This was so helpful. It made my research into multi-factor models in finance much easier to understand. Thank you very much.
This was so clear! Everything makes sense now, thank you so much!
You're welcome, Tayana.
The content is very clearly explained.I find it the best video of explaining coefficients of MLR.
Thank you for these videos! They are very helpful!
Thank you so much sir, but im unclear about 3:52, in the question it is stated as 10 years but while solving you used 96 months which was 8 years based on the conversion
You’re right. I changed the question to 96 months at 3:52 but forgot to go back and change it at the beginning (0:00). Thanks for pointing it out.
man this was great
more than what I expected it explained the whole thing together as a package
keep it on 🔥🔥🔥🔥🔥🔥
Amazing! that is exactly what I was looking for, thank you!
outstanding explanation ! Thank you !
Thank you so much Emmanuel. This video is so explanatory.
Hi,
I have a quick question. Why does it says “8-years” 4:13 when at the beginning 0:00 “c)…10-year-old”?
This video is amazing, thank you!
This made so much sense. Thank you!!!!
Prof Emmanuel to the rescue! I was trying to figure out what were these coefficient β that were pulled out of nowhere in my chapter about Design of Experiment
My pleasure. Thanks for dropping a note.
This Helped me a lot for my exam Tq so much 😊😊
If p-value is greater than 0,05 in a dummy variable from discrete variable, and the others are 0, whats the interpretation? Thanks.
When the p-value for a dummy variable is greater than 0.05, while the p-values for other variables are less than 0.05, the interpretation is as follows:
1. The dummy variable is not statistically significant at the 0.05 level in predicting the dependent variable.
2. This suggests that there is no significant difference between the categories represented by the dummy variable in terms of their effect on the dependent variable.
3. The other independent variables with p-values less than 0.05 are considered statistically significant predictors of the dependent variable.
@@joshemman Thankss
Really good explanation.
Do you offer tutoring? You are a great teacher!
for the t-tests, please explain why you use two-tailed test for the other variables and one-tailed test for the last variable.
7:03; if you’re testing whether the coefficient is positive or negative, then it is a one tailed test. If you’re simply testing for significance (without a specified direction), then it is a two-tailed.
@@joshemman thank you so much for the help and quick response
Waw. The best explanation I have seen ❤❤❤❤
Please can you use animal science field for this same video? I'll like to watch it.... thanks
i hope your pillow is the perfect temperature when u go to bed every night 🫶
Same to you. 🙏
Hii, if i have a model that as a whole is not significant, but one of the independent variables is significant, can i still report the result just for that indeoendent variable?
Thank you for the explanation, it is very clear and helpful!
I have a question what should I do if some of the parameters for example maintenance of the house depend on price,room numbers or region but not directly? is it correct to make this type of analysis with such parameters?
abeg oo is this for machine learning or statistics, we haven't contacted anything like degree of freedom (df) in machine learning
Very good ..m also a lecturer of statistics
Thanks for dropping a note. Much appreciated.
Thank you so much ❤❤❤
thank you for your lecture
Thanks so much for this video
You're welcome.
Don't understand y u use the student t test instead of the z test to construct the 95% confidence interval since the sample size was large thus greater than or equal to 30 and the standard error of population given
People use Z when sample is large just as an approximation since t-tables may not include large t values. Also note that the standard error is based on the sample, not population.
At 3.49, Actual value of Age coefficients is 1.35. At 95% confidence, Age values interval is between -3.8 to 6.6.
It means our regression coefficient from -3.8 to 6.6 is allowed or what?
You will say you are 95% confidence that the true Age coefficient lies between -3.8 and 6.6.
That is, with repeated sampling, you expect the true Age coefficient to be somewhere between those two values in 95% of the samples.
You can look up definition of confidence intervals to learn more.
Thanks for the video!
I have a question.
When testing the significance of predictor variables, we used Beta not equal to 0 as Ha, but for Distance, we used Beta < 0.
Just like Distance, can we use Beta > 0 for the other independent variables?
If yes, can we also use Beta not equal to 0 for testing the significance of Distance?
Yes, you can use Beta not equal to 0 for testing the significance of Distance. I used Beta > 0 as an example of a right-tailed test.
@@joshemman Oh okay. Thank you for the quick reply!
Thank you for these videos
I have on question
how to a form product dd for the least period is given below period dd period 1,2,3,4,5,6,7,8,9 dd 44,52,50,54,55,55,60,56,62 develop a linear trend equation ,predict the dd value for the next period and find the regression equation solution
Use Excel or Google sheets:
X = 1,2,3,4,5,6,7,8,9
Y = 44,52,50,54,55,55,60,56,62
use
=SLOPE(Y, X)
=INTERCEPT(Y, X)
How to estimate the ratio of MVP AND MFC
This is wonderful, but I didn't understand where n=34 coming from
See 0:05. The first line says n = 34. That is the number of observations in the analysis.
Good video
Nice to hear. Thanks.
Amazing
beautiful.
❤
Hi Prof Emmanuel. Please, I need ur email, I can't chat with you on LinkedIn either I quess I need to have a prenium account