# Questions tagged [regression-coefficients]

The parameters of a regression model. Most commonly, the values by which the independent variables will be multiplied to get the predicted value of the dependent variable.

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### Using a zero slope coefficient predictor variable in multiple regression

I ran multiple regression with three predictor variables, which according to the theory I am using, should all predict the dependent variable. However, one of the variable's partial plot shows what ...
13k views

### What does subscript i mean in statistics in this context (table with values included)?

This has been driving me nuts for hours. I cannot find information anywhere on the internet on what the formulas in the upper-right two cells mean. The i subscript is throwing me off.
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### What happens when switched from more aggregated to less aggregated unit in ecological regression

Sample state data State Percent_ethnicity=1 Percent_voting=1 A 20% 60% B 56% 65% Sample city data <...
659 views

### Significant correlation but in regression analysis Beta is insignificant. How come? [duplicate]

I have 3 IV's and they are significantly correlated with DV, but when I run regression one of the IV's Beta value turns out to be insignificant. What might be the reason of this?
256 views

### What exactly is the critique in this regression?

Warning: I might be forgetting basic statistics here. Please edit title if it can be improved. This paper, seemingly summarized in the fancy ZUI slideshow here, points out a possible "critique" in ...
402 views

### Multinomial regression interpretation SPSS [duplicate]

-- start reading from the edited part -- When running a multinomial regression the two values we are really interested in are the values 'B' and B(Exp)'. Let's say we have (fictive numbers): B: ....
118 views

### Survival regression variance estimates

I would like help understanding why a survival regression with no censored data-points does not give the same variance estimates as a linear model (see code below). I think it must be something to do ...
4k views

### Interpretation regression coefficient percentage points

I have a simple linear regression model, where the independent variable is defined in percentages (%) while the dependent variable is in percentage points (difference between two yoy %-rates). How ...
108 views

### Interaction effects and insignificant main effects - Back to basics

Imagine the following regression model: $\text{Abnormal Returns} = b0 + b1*SENT + b2*SIZE + b3*SENT*SIZE + e$ SENT is a standardized variable. SIZE is equal to 1 for "uncertain" firms, and 0 for ...
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### Quantitative and categorial predictor in one model

This is what I would like to know, due to some logical problem behind! I have a model as: Crown radius = Diameter at breast height + Location DBH is quantitative, like 30cm, 40cm... Location is ...
100 views

### Interpreting what this means in a paper - significantly different at the .05 level? [duplicate]

I am having a hard time interpreting what something means in a paper I'm trying to get through. If you care, this is the paper: Gender Differences in the Effect of Education on the Slope of Experience-...
345 views

### Java and R: Least Squares Coefficient Estimation - Start at time Zero?

This is the data set I have: vector <- c( -7.459981, 13.26651, 12.10128, 2.380662, 26.42393) Doing an estimation of the coefficient with a linear regression ...
717 views

### Running all possible additive combinations of a linear model and averaging the coefficients

I have nine predictor variables and one response and when I run a linear model in R I'm getting negative coefficients and non-significant p-vales for essentially all the estimates. I've examined the ...
715 views

### Multiple Regression - Converting Standardized Coefficients to Unstandardized

I recently performed a multiple linear regression using a standardized set of data, and I was wondering if it possible to convert the standardized coefficients from the regression into usable ...
199 views

### Simple linear regression and sampling

I have a small dataset (60 elements) for which I fit a simple linear regression model, and obtain a small coefficient of determination ($R^2 = 3\%$). I'm a beginner in statistics so I'm trying to ...
2k views

### Positive coefficient but negative marginal effect in mlogit

Is it plausible to have a positive coefficient with a negative marginal / impact effect after running multinomial logit model?
168 views

### Imputation model: Pooled model is insignificant. How to interpret?

I have ordinal data on three IVs ranging from 1 to 5 as below: IV1: Not at all Important - Very Important IV2: Not at all Satisfied - Very Satisfied IV3: Performs much Worse - Performs much better ...
129 views

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### Interpretation of regression coefficients after power transform (possibily with polynomial transform and PCA) [duplicate]

In general I standardize my features before regression by subtracting the mean and dividing by unit variance: $$\hat{X} = \frac{X - \bar{X}}{Var(X)}$$ With this basic standardization, interpreting ...
11 views

### Back-transformation of coefficients in a log-log model, and a model with a boxcox transformed y

There's a number of posts out there on back-transformations but none that I've been able to use to answer this problem, internet searches are returning surprisingly little on the issue of back-...
18 views

### Interpreting linear regression with endogenous treatment effects

Using stata (with weighted survey design) I ran the following, where logwage is the log of wage. The log was taken because wage was not normally distributed. There is also information about the ...
3 views

Can anyone suggest good resources to understand Partial Least Square Regression(PLSR) algorithm and the terms associated with it like weight, score, loading. I am doing a project on soil macro-...
17 views

### Comparing coefficients in logistic regression with curvilinear effects

Iām conducting a multiple logistic regression with 3 predictors (x, y and z). A Box-Tidwell test suggested that the relation between x and the dependent variable is not linear on the logit, so I have ...
21 views

### Adding a new predictor to an existing (estimated) regression model?

First, I should point to (at least) two similar questions (here and here); however, I could not find an answer fitting my needs there. I have a set of fixed covariates and a large number of (~ 1,000,...
19 views

### the meaning and metrics of beta coefficients in glmnet Ridge regression

I have done a ridge regression using the 'glmnet' function in R. Then, after finding the optimal lambda parameter, I checked what are the predictors' beta coefficients by extracting glmnet.fit\$beta ...
10 views

### Interpret coefficients in L_k norm regularisation

Assume I want to do some regression on customer life time value. I have three features: age, income, height (denoted x1,x2,x3) and their coefficients ...
11 views

### How to construct ANOVA table only using the output from summary()?

Without using any other R function, how to calculate ANOVA table only using the output from summary()?
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### GLM coefficients from caret - Machine Learning

I have a quick question I can't seem to find a good answer to, so I hope this makes sense and please let me know of any important information I may leave out. I've been using the machine learning ...
18 views

### Could the first differences estimator be a better choice than fixed effects, regardless of serial correlation and heteroskedasticity?

TLDR: Is the first differences-estimator a better choice than a fixed effects model for panels where the demeaned dimension is categorical with three categories, where two of them usually have no ...
20 views

### Total effect of main variable and it's interaction with dummy

I am going to estimate the following model: y=constant+b1(X)+b2(X)(Dummy) We have daily data from 1990 to 2000. Dummy variable is equal to one for the daily data of year 2000, else zero. b1 is the ...
12 views

### On effect of mastitis on milk yield, regression coefficient of mastitis found is 1.1, how do we interpret this regression coefficient [duplicate]

how do we interpret this regression coefficient of mastitis (1.1) as an effect on Milk yield
21 views

### Interpreting a low phi-coefficient, but a high regression correlation coefficient

I'm conducting statistical analysis on two categorical binary variables. My phi-coefficient yields only 0.09 at a 0.01 significance level. However, when I conduct multiple logistic regression on the ...
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### I am comparing the sex ratio of pheasants across Study Areas, (10), Release sites (26), and Years (13)

I am using Binary Logistic Regression and comparing Models using AIC. The Model is: sex ratio= study area + release site + years When I count the number of Parameters (K) in the Model -do I count ...
14 views

### What would be a good method to compare the results from my model to actual measurement data?

I have a complex physical model of an engine and I get certain outputs for a given set of inputs. However, these outputs are of course, not exact and deviate from the physically observed values for ...

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