# Questions tagged [multiple-regression]

Regression that includes two or more non-constant independent variables.

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### INTERPRETATION OF REGRESSION RESULTS [on hold]

I would like to be able to interpret these results as follows: Result 1: how can I interpret this result? X1 = 0.045 and significant at 10% X2 = -0.036 and significant at 10% Adjusted R-squared = 0....
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### Calculate individual squared

My project is in the field of urban design, I have to do a regression analysis, which I did't have any idea what was that. However, I did that and here is the screenshot of my result As you can see ...
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### False-discovery-rate correction on a large set of multiple linear regressions with different sample sizes

I have a dataset of brain images in which each pixel value corresponds to a measure of neuron activity. The images were taken in different conditions described by three regressors (two fixed-effects ...
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### Difference between estimating parameters for prediction and estimating parameters for their own sake

In a 1989 paper on orthogonal regression, Ammann and Van Ness write: An important caveat should be noted. The errors-variables-model is useful when the primary goal is to estimate the model ...
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### Testing coefficient in multiple linear regression [on hold]

I have the following code: ...
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### Estimating coefficients of a linear model with collinear dependent variables that have errors with known variances

I want to estimate the coefficients $\beta$ of the linear model $Y=\beta X$ from observations of $(Y_i,X_i), i=1\ldots n$, where $X$ is multidimensional. Two problems: All variables have been ...
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### Can someone please enlighten me with this restricted econometrics model?

The question is , test the hypothesis: 5% unemployment rate has triple the effect of two extra weekend days a month on total accidents. Test for the corresponding coefficient restriction using eviews ...
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### Linear hypothesis when regressor matrix singular? How do I do F-test?

I have the following model $y_i = \beta_0 + \beta_1 x_{i,1} + \beta_2 x_{i,2}$ I know $\hat{\beta_0}$, $\hat{\beta_1}$ and $\hat{\beta_2}$, and also the $R_u$ and the covariance matrix of the model. ...
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### Formulating Linear regression model [duplicate]

I am trying to make multiple linear regression models for multiple crops where my dependent variable is Yield of crops for ex. Yield of Wheat, Rice, etc. I have data set in which each row represent a ...
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### Impact of individual features under multi-collinearity

Assume the following scenario: I have four features: $x_1$, $x_2$, $x_3$, and $x_4$ There are non-negligible multi-collinearity among the features. I want to predict $y$ (response variable) with ...
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### Choosing variables in multiple linear regression [duplicate]

I am trying to make multiple linear regression models for multiple crops where my dependent variable is Yield of crops for ex. Yield of Wheat, Rice, etc. I have data set in which each row represent a ...
46 views

### How to generate artificial data to have a similar results after doing an OLS estimation?

I am trying to replicate a paper that the data are confidential, however, for the sake of practice in coding and performing similar analysis, I am trying to generate artificial data so that after I ...
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### Can I use linear regression for predicting time series? [on hold]

I have the percentage of defaulted clients in porfolio for different periods as target variable and macroeconomic factors as explanatory variables. Can I use simple linear regression? What other steps ...
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### Help me interpret this negative linear regression [on hold]

This is the output I have for a multiple linear regression I did in R. ...
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### Removing multi-collinearity with PCA for regression analysis

I'm interested in studying the impact or importance of each feature on the response variable. I'm thinking running multiple linear regression with multiple features, and running regression analysis ...
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### Choosing the right model: Poisson, Quasi-Poisson and Negative Binomial?

 I am working in R. I am investigating the effects of weather on restaurant demand. My DV is the number of restaurant visitors per hour, my IVs are five weather variables and all other ...
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### Are there constraints on the ratio of dependent variables to independent variables for PLS regression?

I will begin with a disclaimer that while I understand the general underlying principles behind PLS, my linear algebra background is rather limited. I have trouble with the details of constraints on ...