# 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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### Large coefficients in DiD

I am examining whether a regulatory change affects profit margins (PM) and return on assets (ROA) using a difference-in-difference test. Firms are divided into treatment (T=1) and non-treatment (T=0). ...
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### Confidence interval regression issue with quantile data

I am trying to tie out the confidence intervals of the 124.88 intercept on page 8 here: http://www.econ.uiuc.edu/~roger/research/rq/vig.pdf Here is the code: ...
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### Multi-linear Regression Analysis with inter-dependent coefficients

I am forecasting sales based on an e-mail data set. In the the dataset I have sales as well as the quantity of emails sent, the number of unique opens, unique clicks and unsubscribers. I have only ...
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### In the absence of predictor X, target Y is non-zero. what does it mean?

Having this table as a base of analysis that explains linear regression with just one predictor X - TV advertising (in thousands of dollars) and one target variable Y - Sales of a product (in ...
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### Regression line from Anova-table

- I am trying to figure out if it is possible to get the value of $\beta$ for regression line from Anova-table. So far i see that SST = SSE + SSM which is equal to (SST = $\sum(y_i-\bar y))$ ...
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### Which regression and type of test to use?

I'm trying to find out how stocks and cash react (in terms of returns) when people feel bearish/bullish and when they move asset allocation between stocks/cash. I have three data sets: monthly Dow ...
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### How does solution of least square analysis change if the output of datapoint is increased by a constant?

What will be the effect on the solution of least square analysis if we apply the following transformations on the training set: add a real number $k$ to the output value of each datapoint. And the ...
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### Normal approximation for Negative Binomial regression

In negative binomial regression, the distribution is specified in terms of its mean, $\frac{pr}{1-p}$, which is then related to explanatory variables as in linear regression or other Generalized ...
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### Relation Between Partial Correlation and Beta Coefficient in Multiple Regression [duplicate]

Suppose I've a multiple regression coefficient in the following form: y = β0 + β1x1 + β2x2 + β3x3 + β4x4 + ϵ My question is how to calculate the relationship ...
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### Dropping the non-significant parameters in multiple regression

Given the standard multiple linear regression model $$Y=X\beta+\epsilon\sim N(X\beta,\; \sigma^2I)$$ One derives the distribution for the estimated parameters \hat{\beta}\sim N(\beta,\; (X^TX)^{-1}\...
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### Alternative to a coefficient of variation

I am currently collecting data 4x per week with a fencing athlete. She jumps with each foot on a separate force plate, so we can see asymmetries in force curves. We noticed that whenever she is more ...
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### In count data models with dummies, what exactly means “on average”?

There are some questions + answers out here that explain how to interpret coefficients from count data regressions (e.g. negative binomial), both as incidence rate ratios or marginal effects. Bottom ...
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