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# Forum: Regression Analysis

Linear regression, linear models, nonlinear regression

1. ### Regression results

Hello! I need help with the results of regression analysis. I have significant percentage of variance explained (not big, only 5%), but none of...

• Replies: 3
• Views: 2,903
03-20-2011, 04:43 PM
2. ### Need help on regression

I am doing a regression analysis. One one side, independent, I have treatment days/fractions and on other side, dependent, i have a measure of...

• Replies: 4
• Views: 2,895
03-18-2011, 10:36 AM
3. ### coding for dummy variable

Hello all, I am wondering why dummy variables should always be coded either 0 or 1. For example, does it make any mathematical difference in...

• Replies: 2
• Views: 5,708
03-17-2011, 07:26 AM
4. ### logistic regression results

dear all, I've been using the logistic regression for my data. Let's just say I'm predicting the possibility of A or B. I use four predictors, one...

• Replies: 0
• Views: 1,957
03-17-2011, 06:38 AM
5. ### Linear regression, nonlinear regression or something else?

Hi! I do apologies in advance for any misuse of terms or the lack of understanding in statistics - as I've only realised, after Googling for hours,...

• Replies: 0
• Views: 3,622
03-16-2011, 10:56 PM
6. ### Logistic regression - help please!

Hello, I was wondering if there are any kind souls out there who might be able to help me with a problem I am having with logistic...

• Replies: 2
• Views: 2,621
03-16-2011, 09:38 PM
7. ### regression analysis with an infinite number of predictors....

so i was reading this article and kinda got me wondering... for standard, OLS multiple regression... can we have an infinite number of...

• Replies: 2
• Views: 3,462
03-16-2011, 03:30 PM
8. ### Linear Regression - Theory

Hi Guys, I have some theoretical questions about regression models, I need an answer or true or false for the next few phrases.... 1. Leverage...

• Replies: 3
• Views: 3,389
03-16-2011, 03:16 AM
9. ### Multi-Level Models with perfectly correlated outcomes

Hello, I am trying to utilize multilevel regression analysis in SPSS (mixed models) to predict outcomes in negotiations between two individuals....

• Replies: 3
• Views: 2,867
03-15-2011, 05:39 AM
10. ### regression + ANOVA, is it ok?

Say I'm measuring subjects' performance over some training time. And I have several factors which I thought may affect learning, such as reward. So...

• Replies: 1
• Views: 2,654
03-14-2011, 11:40 PM
11. ### Post Hoc or Contrasts ?

Hi Guys, I have a theoretical question... Someone asked me today what's better to perform while using Analysis of variance: a prior analysis...

• Replies: 1
• Views: 3,359
03-13-2011, 03:59 AM
12. ### I need help

I need help I have this homework that I cant solve it Show that s^2=(1|n-2)∑(y-y^) is unbiased estimator for sigma^2 in linear regression model...

• Replies: 5
• Views: 2,218
03-12-2011, 12:13 PM
13. ### Exponential Trendline and Equations dont match...

Hi there I have a graph of output values that I have to plot linear and exponential trendlines on and then show the equations and calculate for...

• Replies: 1
• Views: 2,859
BGM
03-11-2011, 04:02 PM
14. ### Solve for the following values

I need to solve for a,b,c,d by hand showing calculations but I can't seem to find any equations that will help me here. We haven't been given any...

• Replies: 4
• Views: 2,595
03-11-2011, 01:50 PM
15. ### Proc model

I am now learning sas from the scratch. well, with Proc model procedure I want to get residuals, predicted values and possibly studentized...

• Replies: 0
• Views: 3,811
03-11-2011, 12:09 PM
16. ### I need to solve this proplem

I have to solve this proplem supposeY1,Y2 are random variables with normaly joint distribution Y1~N(u1,segma1^2) Y2~N(u2,segma2^2) prove that...

• Replies: 1
• Views: 2,072
03-10-2011, 10:15 PM
17. ### Std Error of nonlinear regression coefficients

Hi There, I have a commercial NET dll computing nonlinear regression coefficients and their sigma values. However, I would like to compute the...

• Replies: 0
• Views: 3,636
03-10-2011, 08:11 PM
18. ### Combining Model Scores

Question for the regression modeling experts: I am looking for an efficient and correct way to combine model scores taking into account...

• Replies: 0
• Views: 4,573
03-09-2011, 04:40 PM
19. ### Linear regression on ranked data

The dependent variable consists of a set of ranks for two types of project: Logistics and Engineering, to which I've applied a normal transformation....

• Replies: 0
• Views: 4,902
03-08-2011, 03:37 PM
20. ### Problems with adjustment in mediation model

I am using Baron & Kenny's procedure to test a mediation hypothesis. I realize that the field has evolved a little and others, such as Preacher &...

• Replies: 0
• Views: 2,417
03-05-2011, 06:48 PM
21. ### How to handle discrete predictors in a HLM?

Hi there, I have longitudinal data with several time-invariant predictors (age, gender, personality) and one dichotomous time-variant predictor...

• Replies: 0
• Views: 2,793
03-05-2011, 06:18 PM
22. ### Correlation coeffcient

I have no idea where to begin with this. If someone could guide me into the right direction, please. If the correlation coefficient is 0.97, what...

• Replies: 1
• Views: 3,069
03-05-2011, 09:23 AM
23. ### What GLM should is use in this dataset?

Hi everyone and thank you! I'm not a student of statistics, i'm in a different but somehow related field. i'm doing this research, been reading...

• Replies: 1
• Views: 3,455
03-05-2011, 04:22 AM
24. ### Regression Assumptions for Binary Dependent Variable Models?

I was wondering if anyone could direct me to a good source on this, or just answer my question directly. What are the assumptions made for a...

• Replies: 3
• Views: 19,007
03-04-2011, 12:20 PM
25. ### regression analysis with non normal residuals

I am a relative novice at stats so I would appreciate any help on this. Please let me know if I need to provide any more info to answer the question....

• Replies: 0
• Views: 3,542
03-04-2011, 09:55 AM
26. ### Regression Possibility?

I've got some real data (from a real experiment), and I'm having trouble finding a way to carry out a regression. The independent variable is...

• Replies: 2
• Views: 2,215
BGM
03-04-2011, 04:03 AM
27. ### Binary predictors, continuous independent V!

hi everyone I need help with doing a regression model. How can I perform a regression analysis when the only independent variable is a continuous...

• Replies: 3
• Views: 3,850
03-03-2011, 05:52 PM
28. ### regression analysis for massive data sets

Assume the size of data set is massive, is there any consideration when performing regression analysis?

• Replies: 1
• Views: 2,601
03-03-2011, 11:23 AM
29. ### Linear Regression Through a Point

Hi Everyone, I'm trying to find the slope of the regression line with the least squares fit which passes through a certain point (x_0,y_0) The...

• Replies: 0
• Views: 3,657
03-03-2011, 03:48 AM
30. ### Simple command in SAS for regression with a large number of covariates?

I'm a new poster and I searched before creating this thread, so I hope I'm not raising a common question that is constantly being answered here. ...

• Replies: 4
• Views: 4,324
03-02-2011, 04:25 PM
31. ### Algebraic Definition of Residuals from a Regression

I just need a hint on how to get started on this. Any advice? Define the residual from a regression (one independent variable) algebraically and...

• Replies: 1
• Views: 3,218
03-02-2011, 01:31 PM
32. ### which regression model for time series?

Hi guys, please help. I need to do regression analysis for demographic data. I am not sure whether linear or logistic regression would be...

• Replies: 17
• Views: 10,772
03-02-2011, 10:59 AM
33. ### Slope comparison in two-phase regression analysis

Hi I am using a two-phase regression analysis to analyze some physiological data. The analysis is based on using two, simple linear regressions...

• Replies: 0
• Views: 5,241
03-01-2011, 05:27 PM
34. ### Residualized Coefficient Using Solely Variances and Covariances

I just want to confirm that I'm on the right track. I need to derive an expression for b^Y1.2 that refers solely to variances and covariances...

• Replies: 0
• Views: 2,226
03-01-2011, 04:14 PM
35. ### R-squared and Explained Sum of Squares?

I'm not quite sure how to get started on this one, any suggestions? Thanks!! "If you have the following: R-squared for Y on X1,2,3 is 0.25,...

• Replies: 2
• Views: 5,114
02-28-2011, 12:09 PM
36. ### simple logistic regression question

I'm doing a willingness to pay survey to see if people are willing to spend \$1 for clean water. I randomly sampled 100 people and one of the...

• Replies: 5
• Views: 5,056
02-28-2011, 12:36 AM
37. ### Discriminant Analysis Issue

Hello, I'm trying to make sense out of a recent discriminate analysis I ran which confused me. I got really a really low eigenvalue which...

• Replies: 0
• Views: 3,314
02-27-2011, 07:26 PM
38. ### Two dependent variables, same independent variables

Hi, If I have two very similar regressions where the only difference is the dependent variables, can you compare the influence of the independent...

• Replies: 1
• Views: 7,530
02-27-2011, 03:27 PM
39. ### Automated multivariate nonlinear regression

I have 4,300 lines of data that looks like this in each column: IV1, IV2, IV3, DV1, DV2 It has five columns, three are IVs, two are DVs. How can I...

• Replies: 1
• Views: 2,925
02-26-2011, 04:36 PM
40. ### Addendum: Probit Model, Liklihood Ratio Significant, Very Low Pseudo R-Square

Multicollinearity does not appear to be a problem. None of the predictor variables has a VIF over 1.5.

• Replies: 2
• Views: 3,839
02-25-2011, 11:23 AM
41. ### Probit Model: Liklihood Ratio Significant, Very Low Pseudo R-Square

I'm running a probit model in Stata, and I'm a bit confused by the results. The LR test is highly significant, .0000, but the Pseudo R-Square is very...

• Replies: 0
• Views: 5,045
02-25-2011, 02:34 AM
42. ### Heteroscedasticity

I am new to this. I'm conducting analysis using standard multivariate regression and I've been look at some of the outputs from my model (I'm...

• Replies: 0
• Views: 3,097
02-24-2011, 09:18 PM
43. ### GLM Parameter Estimation in R

Hello everyone! I was searching for GLM content, then I found this forum, so I thought you could help me :). I'm starting to study GLMs and I know...

• Replies: 0
• Views: 4,602
Kol
02-24-2011, 08:02 PM
44. ### problem with MR

Hi, I have a problem with the results of MR and I hope somebody can help me:) conducting MR with Enter method, I got a model which is not...

• Replies: 8
• Views: 2,579
02-24-2011, 04:01 PM
45. ### Probit: Assumption e~N(0,1), why?

Good evening, I have got a question according the Probit-Model. In this model we always assume that the error term is standard normally...

• Replies: 0
• Views: 2,755
02-24-2011, 03:18 PM
46. ### Develop analysis plan on Medical data - trend analysis and model

First, let me say thank you for any help you can give. I have been searching for nearly two days for a solution to my problem and continue to be...

• Replies: 1
• Views: 7,967
02-24-2011, 11:20 AM
47. ### An R question about GLM

I want to predict a set of proportions from a linear regression using glm in R. The model has a logit link but I want extract the variance-covariance...

• Replies: 0
• Views: 2,200
02-24-2011, 04:36 AM
48. ### Stepwise Regression Analysis

Under what condition (or conditions) would one observe no change in the regression coefficient for some variable (e.g., b-hat Y on X1) when another...

• Replies: 1
• Views: 4,832
02-23-2011, 10:12 PM
49. ### Linear regression on bio-data.

Hi all, I'm completely new to this forum so forgive me (and tell me) if I break protocol in any way. My setup is: I have n animals. I believe...

• Replies: 6
• Views: 5,088
02-23-2011, 07:37 PM
50. ### confidence interval/f-tests

Basically Fe (iron) is the x variable/predictor, and MDD loss is the y variable/response in minitab. 1. I generated some data (regressoin...

• Replies: 1
• Views: 6,352
02-23-2011, 01:01 PM
51. ### Poisson Regression Offset -- Constrain to 1?

I have a regression where the observation time varies. I would like to use an offset. Right now, my time variables are . What does it mean to...

• Replies: 0
• Views: 2,686
02-22-2011, 04:44 PM
52. ### Trouble standardizing regression slopes

Dear readers, Hopefully you can help me with the following problem. I am using meta-analytic software to perform a meta-analysis. When I...

• Replies: 0
• Views: 4,041
02-22-2011, 12:46 PM
53. ### Help needed with counter intuitive result in OLS

Hi All, I have a simple linear regression run between say, statements about the impression with a brand on its favorability What i am getting...

• Replies: 5
• Views: 3,967
02-21-2011, 04:48 AM
54. ### Appropriate logistic regression model to control for confounders?

I am working with a cross-sectional study sample (N=601). The goal of my research is to investigate if there is an association between a disease (X)...

• Replies: 2
• Views: 9,868
02-18-2011, 05:20 PM
55. ### [Probit] Can I be confident in my results even with a poor Goodness-of-Fit test?

I am running a probit analysis on a data set with about 1000 cases, predicting probability of college graduation by a set of college institutional...

• Replies: 3
• Views: 4,322
02-18-2011, 03:27 PM
56. ### Fixed Effects Common Panel Regression versus GMM estimation

Hi, I have estimated my model using the Fixed Effects Common Panel method and this seems to work fine. I get an R2 of .90 However, I am now in...

• Replies: 0
• Views: 6,167
02-18-2011, 07:43 AM
57. ### dummy variable multiple regression

Hello guys, I am doing a project on calendar affects(seasonality) in the stock market for which i am trying to perform a dummy variable regression...

• Replies: 2
• Views: 8,828
02-17-2011, 12:04 PM
58. ### Dealing with multi-level categorical variables in regression

Hi everyone, I have been working in R and using lmer() to run mixed-effect linear and logistic regression models to study language processing. ...

• Replies: 0
• Views: 5,928
02-16-2011, 02:37 PM
59. ### What test can I use to find out which bivariate regression is *significantly* better?

I have three variables: y, x1 and x2 (n=130). I want to know whether one of the x variables is a significantly better bivariate predictor than the...

• Replies: 3
• Views: 2,996
02-16-2011, 01:49 PM

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