Multiple Regression | Coefficients - Interpretation, C.I, Hypothesis Testing

[@joshemman]

Simple Linear Regression Problem Solved - kzbin.info/www/bejne/mX69c4KjbL2AotU

[@alteredkill6109]

This is by far the best multi regression video I have seen

[@cheeseopedia6500]

Thanks for the clear and straight-to-the-point video. No lengthy intro and outro, but short with examples and visualizations. Great!

[@joshemman]

Thanks for the feedback, Cheeseopedia. Glad you like it.

[@littlepagesforlittlelearne4336]

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!!

[@joshemman]

🙏

[@jdll-te3ly]

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! 🙌💯

[@TheJoeltodd]

This was so helpful. It made my research into multi-factor models in finance much easier to understand. Thank you very much.

[@tayana0lolo]

This was so clear! Everything makes sense now, thank you so much!

[@joshemman]

You're welcome, Tayana.

[@sajjadabouei6721]

man this was great more than what I expected it explained the whole thing together as a package keep it on 🔥🔥🔥🔥🔥🔥

[@jacquelinesilerio1838]

Thank you for these videos! They are very helpful!

[@muazaljuneidi5880]

Amazing! that is exactly what I was looking for, thank you!

[@nadiaenih9178]

Thank you so much Emmanuel. This video is so explanatory.

[@mapa5000]

outstanding explanation ! Thank you !

[@mosesehijie3265]

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

[@joshemman]

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.

[@DieWundeBliebt]

This made so much sense. Thank you!!!!

[@Falco.]

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

[@joshemman]

My pleasure. Thanks for dropping a note.

[@nahumyehdego8612]

This video is amazing, thank you!

[@muhammadkhurramshabbir5321]

Really good explanation.

[@ericomeli2235]

for the t-tests, please explain why you use two-tailed test for the other variables and one-tailed test for the last variable.

[@joshemman]

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.

[@ericomeli2235]

@@joshemman thank you so much for the help and quick response

[@hakiri9072]

If p-value is greater than 0,05 in a dummy variable from discrete variable, and the others are 0, whats the interpretation? Thanks.

[@joshemman]

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.

[@hakiri9072]

@@joshemman Thankss

[@mahindrachilukuri1260]

This Helped me a lot for my exam Tq so much 😊😊

[@sydneyverge6961]

Do you offer tutoring? You are a great teacher!

[@blessingokon255]

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

[@statisticslearning]

Very good ..m also a lecturer of statistics

[@joshemman]

Thanks for dropping a note. Much appreciated.

[@helloitsnan6018]

Hi, I have a quick question. Why does it says “8-years” 4:13 when at the beginning 0:00 “c)…10-year-old”?

[@oluyomiamos2862]

Thanks so much for this video

[@joshemman]

You're welcome.

[@tiberiusmose9884]

thank you for your lecture

[@evelynfurtado1240]

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?

[@hrehrjrjj5]

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?

[@joshemman]

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.

[@hrehrjrjj5]

@@joshemman Oh okay. Thank you for the quick reply!

[@suryaupadhyay688]

Thank you so much ❤❤❤

[@arrrigatoru2879]

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?

[@selimgabsi]

Good video

[@joshemman]

Nice to hear. Thanks.

[@sinansuleiman]

Amazing

[@delinemadzore]

This is wonderful, but I didn't understand where n=34 coming from

[@joshemman]

See 0:05. The first line says n = 34. That is the number of observations in the analysis.

[@knowledgedrah]

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

[@joshemman]

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.

[@varshapatil3566]

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?

[@joshemman]

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.

[@bontu4018]

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

[@joshemman]

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)

[@alexanderfischer541]

beautiful.

[@SandeepKumar-sg7ou]

How to estimate the ratio of MVP AND MFC

[@shewayebelayneh2004]

❤

[@Charcharmr]

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