Tagged Questions
0
votes
1answer
31 views
How to handle Regression data thats not linear
I'm new to stats and am using Python 2.7 to fit a regression model (Random Forest). When I plot the percentile plot of the prices before and after a log ...
1
vote
2answers
48 views
Help with Anova of categorical and continuous variable in R and SPSS output
I am having some trouble running an Anova on categorical variables in R and matching SPSS output. What I need to do is run an anova on the dataset below (its a made up data set). But, I need to know ...
0
votes
0answers
46 views
Statistical tests on the revenue data of a small business
I have daily revenue data from a small business with 6 locations. The business sells food products that range from roughly \$2.00 to \$9.00, mainly to professionals. They do over a million dollars a ...
3
votes
2answers
42 views
Compare fit of ordinal to linear model
I´m doing multivariate modeling on a dataset where the dependent variable is ordinal-values running from 0-11. So far I´ve done general linear models and it runs alright. However, I´d also like to run ...
0
votes
0answers
28 views
Multiple Regression questions (restricted regression, dummy variables)
Q1.
Model 1: $Y=X_1\beta_1+\varepsilon$
Model 2: $Y=X_1\beta_1+X_2\beta_2+\varepsilon$
(a) Suppose that Model 1 is true. If we estimates OLS estimator $b_1$ for $\beta_1$ in Model 2, what will ...
0
votes
0answers
38 views
Statistics and Data Analysis for Small Businesses [closed]
I am currently a forth year mathematics and economics student. Before this I practiced graphic design. To help pay for school I have continued doing design for a small business in my home city. It is ...
1
vote
1answer
40 views
How to choose interactions to test when there are many predictors?
If I have many covariates $X_1, X_2, ... ,X_{15}$ in a linear regression model, how do I determine which two-way interactions to include? Obviously there would be too many potential models to do a ...
0
votes
0answers
19 views
Mlogit crashes when testing CSV File [migrated]
I am new to this forum and to R so please bear with me. I will try to make my post as detailed as possible!
The R I am using is version 2.9.2 on mac 10.6.8.
I am currently running a mlogit model on ...
0
votes
0answers
20 views
1
vote
0answers
18 views
Hierachical Predictors in a Regression
Note: Mainly this question pertains to predictions from a model.
If the unit of analysis of a regression (or any predictive model really) is the individual retail store and these stores are organized ...
0
votes
0answers
36 views
How to control intercept of only one IV-DV relationship in multiple linear regression
If I have a relationship between three variables (survivorship (outcome), time and dose (continuous) with interaction) how can I control the intercept for time but not dose in MLR? The reasoning for ...
2
votes
0answers
57 views
Can we find bounds on R-squared?
We know that as the number of independent variables increases, the coefficient of determination $R^2$ will increase but the adjusted $R^2$ may or may not increase. In the following question for the ...
2
votes
1answer
46 views
Confusion related to data normalization
I am trying to learn a linear regression model. However, I have some confusion related to the normalization of the data. I have normalized the features/predictors to zero mean and unit variance. Do I ...
-1
votes
0answers
39 views
Multiple Regression with 6 Dependent Variables (DV) [closed]
I am measuring Quality of Life as the Outcome variable with multiple predictors. I have got to the analysis stage of my study and found that rather than having one overall score for Quality of Life, I ...
5
votes
3answers
135 views
Explanation of minimum observations for multiple regression
I feel like every question I've asked on CrossValidated has lead back to looking at the number of observations I have per variable. I understand that there are many rules of thumb out there depending ...
