Statistics Help @ Talk Stats Forum - Regression Analysis
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Linear regression, linear models, nonlinear regressionenWed, 26 Apr 2017 13:32:04 GMTvBulletin60http://www.talkstats.com/images/misc/rss.pngStatistics Help @ Talk Stats Forum - Regression Analysis
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AIC computation
http://www.talkstats.com/showthread.php/69350-AIC-computation?goto=newpost
Wed, 26 Apr 2017 11:25:25 GMT(1) Compute the Akaike Information Criterion (AIC) value for the linear regression model
Y = b0 + b1*X1 + b2*X2 + b3*X3.
The regression model was...(1) Compute the Akaike Information Criterion (AIC) value for the linear regression model
Y = b0 + b1*X1 + b2*X2 + b3*X3.
The regression model was fitted on a sample of 250 observations and yielded a likelihood value of 0.18.

(a) 9.49

(b) 11.43

(c) 25.52

(d) 15.55

(2) Compute the Bayesian Information Criterion (BIC) value for the linear regression model
Y = b0 + b1*X1 + b2*X2 + b3*X3.
The regression model was fitted on a sample of 250 observations and yielded a likelihood value of 0.18.

(a) 9.49

(b) 11.43

(c) 25.52

(d) 15.55

Can someone confirm if the above is

1) b
2) c

???
]]>Regression Analysisshane414http://www.talkstats.com/showthread.php/69350-AIC-computationHow to do a linear multiple regression with multiple correlating independent vars?
http://www.talkstats.com/showthread.php/69349-How-to-do-a-linear-multiple-regression-with-multiple-correlating-independent-vars?goto=newpost
Wed, 26 Apr 2017 11:10:02 GMTRight I am a total newb at stats but I'll try an explain what I'm trying to do.

Im trying to find whether China's Foreign Direct Investment (variable 1) and China's trade (variable 2) has an impact on the Human Development Index (dependent variable) in Ghana. I also have values for other variables like political stability, corruption, government expenditure.

I have a time range from 2000-2013 of data values for all the variables (there are some but few values missing).

The general trend looking at the data is that China's FDI, trade and ghana's political stability (which are all independent variables) are all increasing pretty steadily together , which I think means multicollinearity so my results will be heavily skewed or something. Then how is it possible for me to find out which variable contributes the most?

Thanks!
]]>Regression Analysiszakqux93http://www.talkstats.com/showthread.php/69349-How-to-do-a-linear-multiple-regression-with-multiple-correlating-independent-varsUnderstanding Mixed Effects Regression Models
http://www.talkstats.com/showthread.php/69348-Understanding-Mixed-Effects-Regression-Models?goto=newpost
Wed, 26 Apr 2017 08:34:23 GMTHi, a statistician has run a mixed effects regression model for me in order to determine whether our intervention had an effect (on a number of...Hi, a statistician has run a mixed effects regression model for me in order to determine whether our intervention had an effect (on a number of outcomes) over 4 timepoints. However, the analysis I have been given shows mean effect and change (covariate adjusted treatment estimate effects and change over time). I think I can interpret those just on significance, but it is not the kind of output I was expecting. I thought it would be a model indicating the amount of variance each outcome accounted for. Have I completely missed the basics here? Can anyone recommend emergency dummy reading to get me back on track?

Also, I assume the mean effect just tells me whether the intervention and control groups differed. Is there a way to determine whether this was better at earlier time points.....?

Thank you for your help
]]>Regression AnalysisBrook99http://www.talkstats.com/showthread.php/69348-Understanding-Mixed-Effects-Regression-Models