Statistics Help @ Talk Stats Forum - Regression Analysis
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Linear regression, linear models, nonlinear regressionenSat, 29 Apr 2017 09:20:58 GMTvBulletin60http://www.talkstats.com/images/misc/rss.pngStatistics Help @ Talk Stats Forum - Regression Analysis
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Correlating two pitch contour models
http://www.talkstats.com/showthread.php/69370-Correlating-two-pitch-contour-models?goto=newpost
Fri, 28 Apr 2017 20:21:28 GMTI am determining tonal ability (the ability to express tones in a tone language, a language which requires a change in pitch to differentiate meaning...I am determining tonal ability (the ability to express tones in a tone language, a language which requires a change in pitch to differentiate meaning like Mandarin) by comparing the pitch contour of a non-native speaker to the pitch contour of a native speaker. This means I have two pitch contours--two (x,y) sets--to correlate.

How can I analyze the similarity between those two sets?

]]>Regression Analysisjkao1http://www.talkstats.com/showthread.php/69370-Correlating-two-pitch-contour-modelsNested logit?
http://www.talkstats.com/showthread.php/69356-Nested-logit?goto=newpost
Thu, 27 Apr 2017 04:04:28 GMTI am researching about different modes of transportation and i need to get the utility function of each mode. My dependent variable is the modes of...I am researching about different modes of transportation and i need to get the utility function of each mode. My dependent variable is the modes of transpo (6 choices of modes) and the variables are income level,cost of travel, travel time, distance travelled. I got the data for the variables and i need to know what to do to obtain the coefficients for each. Utility function for a certain mode of transpo is equal to b0 + b1x1 +b2x2 +b3x3 +b4x4 the x values are my variables which i have data already, and the b0 b1 b2b3b4 are the coefficients i need to get pls help
]]>Regression AnalysisPaul_researchhttp://www.talkstats.com/showthread.php/69356-Nested-logitAIC 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.