# Questions tagged [f-statistic]

An F statistic is a value you get when you run an ANOVA test or a regression analysis to find out if the means between two populations are significantly different.

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### Unusally high F value ANOVA

I am running a one-way ANOVA to compare a numeric continuous variable between four groups, and getting a very high F-value. Below are the descriptives and code I used in R (I get similar values when ...
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### F statistics in Multilevel modeling

In OLS regression (not multilevel regression) R^2 indicates how much variance in DV can be explained by this model. And, the P value of F-statistics indicates whether this regression equation is ...
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### Is a huge F-statistic OK?

I ran a multivariate regression model in R and got an overall F-statistic of 3,525.690 and three stars attached to it. This seems to be quite good from a statistical point of view. However, should I ...
1 vote
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### Help me find (ok, calculate/approx/uncover) the p-value in the following tables

For a meta-analysis I am looking for the p-values in these tables derived from reports dating back to 1980... I am, by now, pretty sure I can't but maybe there is someone smarter than me here... If ...
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### What could cause the F-statistic to increase but adjusted $R^2$ to decrease?

I have created two multiple linear models of the same data. The two models vary only in the dropping of a few variables. Model_A includes all X independent vars (A,B,C,D): Model_B includes only A,B ...
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### In f- statistic :Why do we multiply the Sum of squares with the sample size?

In the f statistic formula In the numerator, why do we multiply the sum of squares with the sample size?! Scenic we are interested only in the variation of sample means from the grand mean.
1 vote
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### Finding F-statistics in R [closed]

Original model: ln(chnimpt) = β0 + β1 ln(chempit) + β2 ln(gast) + β3 ln(rtwext) + β4bef ile6t + β5aff ile6t + β6af dec6t + ut Problem Set: Add monthly dummy ...
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### How to interpret a significant F-statistic but low R-squared?

I have never seen it, but using a dataset of 10k observations, a simple linear regression resulted in a significant F-statistic （over all variables）, but a low R-squared. I interpret it as that the ...
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### Granger Causality and F statistic

I am trying to educate myself in Granger Causality reading the classic literature. From what I have understood the idea is quite simple: first, to test if $X_t$ Granger causes $Y_t$ we define two ...
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### What is a test statistic? [duplicate]

Quick question: Are test statistics like the "F" and "t-statistic" the number of standard deviations on an F and t-distribution, respectively? For example, if I got a "t" ...
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### Doubt about Chow test for testing differences in regression function across groups

For simplicity I consider a model of hourly wage determination: $$wage =\beta_0 + \delta_0 female + \beta_1 education + u$$ Where $wage$ is the dependent variable, hourly wage, $female$ is a dummy ...
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### Using an APA format, how do I report an F-statistic with a value of 2.67e+30?

I am doing a statistical report on a regression model and my F-statistic is 2.67e+30. The values of my dependent and independent variables are expressed in dollars.
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### Conceptual/Math/brainteaser Question: Multiple Linear Regression

This is kind of a brainteaser and I'm struggling to solve it, any ideas on approaching this would be valued: I thought about using substitution of the different x and z into the third regression ...
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### Difference between Wald statistics and effect size in regression models

In some of my regression models (using the rms package), I notice a distinct difference between the result of the Wald statistics (estimated using ...
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### How to prove that the robust F statistic is asymptotically chi squared distributed?

The linear model is $$y_{i}= x_{i}'\beta+u_{i}$$ When written in vector notation such that $y_{i}$ is a $1$ x $1$ matrix of outcomes, $x_{i}'$ is a $1$ x $k$ matrix of control variables, $\beta$ ...
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### F ratios, ANOVA, and 2 stage nested (mixed) models in R

I have data relating to strength of fabric. Each fabric comes from one of 4 batches (B), and batches come from one of 3 suppliers (A). My question relates to the calculation and interpretation of F ...
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### find F-statistic using R output

I have this R output: ...
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### Mean Square of Regression Error for categorical variables while computing F statistic

Give the annova table in the image below: I need to calculate the F statistic for the null hypothesis: b2 = b3 = 0 . b2 is cofficient of cylinder and b3 is the coefficient of doors. The formula used ...
1 vote
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### Which coeffcients are used for a F-statistic

I have an F-statistic, $F(4,10)$, my constant and 4 Coefficients $\beta_2 , \beta_3 , \beta_4$ and $\beta_5$ I already know that the (in this case) 10 reflects the number of obsverations. But what ...
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### Calculating F-statistic, why is SS used instead of just $r^2$?

The calculations and question are for a simple regression (one independent and one dependent variable). SSres = SSy * (1 - $r^2$) SSreg = SSy * $r^2$ F = (SSreg / DFreg)/(SSres / DFres) So, I've ...
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### The F-statistic with all predictors vs. with predictors excluded

The F-statistic formula is: $$F=\frac{(TSS-RSS)/p}{RSS/(n-p-1)}$$ Where $TSS$ is total sum of squares and is equal to $\sum_{i=1}^n(y_i-\bar{y})^2$ and $RSS$ is ...
1 vote
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### When do we reject a null hypothesis by looking at both P variable of f statistic and F statistic?

In which cases do we reject the null hypothesis ?
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### Find the Sum of Squares and using them complete an F-test for goodness of fit

I have this question ( would be grateful if someone could put it on for me) https://gyazo.com/5afe5d7c9d12acdff8f9c55db74f97c9 And I am concerned with part b). I know what $RSS = SSE$ is due to the ...
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