# residuals

1. ### Meaning of bootstrapping residuals

What does it physically mean when I bootstrap residuals in a regression problem. Like when I bootstrap residuals and create synthetic data does it mean I am hypothetically doing some experiments(virtual experiments which are represented by synthetic data). Or does it mean I am just randomly...
2. ### ANOVA, residual normality assumptions

Hi everybody, I would like to ask you something about the normality hypotesis on the residuals when performing an ANOVA. Do I have to check the entire residuals data set or, do I have to check normality of the residuals relative to each level of each IV (for example, 1 IV with 3 levels, 3...
3. ### What to do with very low Durbin-Watson?

For 100 companies, I have collected (i) tweets and (ii) corporate website pageviews for 148 days. The tweetvolume and pageviews per day are two independent variables corpaired against the stock trading volume for each company, resulting in 100 x 148 = 14,800 observations. My data is...
4. ### Test whether assumptions for cluster estimator of VCE are fulfilled

Dear all, I am running a regression on a dataset which I think shows correlation between observations of a cluster. Therefore I use the cluster-robust-VCE estimator by adding -cluster(group)- to the regression command. As this estimator requires the disturbances between groups to be...
5. ### confusion on terminology

I could use some confirmation or correction on something basic that has been confusing me for a while. It has to do with "normal" and steps in modeling. Normality is for residuals (people already helped me with this in a previous thread) and this comes after fitting a model. In the beginning of...
6. ### evaluating loess fit

Hello Everyone, I am trying to evaluate the fits of data using loess() in R. I cannot seem to find any established methods for determining the quality of a loess fit. I have been using the median absolute deviation of the residuals as an estimate of the "goodness of fit" and the amount of...
7. ### Residuals v.s errors

What is the difference between a residual and an error? Is it wrong to say an error is the difference between the data points and a fitted line while a residual is the difference between data points and the sample mean.Please help!!
8. ### Assumptions that underlie a regresion model

Are there any statistical tests that i can use to evaluate whether the assumptions for the regression model are being met? The assumptions i want to test are: 1. The model adequately describes the behaviour of the data. 2. The random error term is an independently and normally...
9. L

### Prediction Errors

Given a regression output of: Budget = 1.76 + 0.20 = Lawmakers S = 4.20 R-Sq = 10.7% (There is also a scatter plot that I obviously cannot post but I'm not sure if it's needed for this...) I'm being asked what the typical size of prediction errors is. I will admit that I'm finding...