# linear models

1. ### Boosted regression versus OLS regression

Dear all I am working on estimating a linear model using boosting regression technique to estimate the parameters. This is a slightly different method than the OLS estimator. the boosting technique is useful when i have a model to estimate and a pool of explanatory variables of which i want...
2. ### Linear Models-Given three objects of unknown weight and a set of scales with one pan.

Hi all, I am new to this and pure desperation is starting to set in. Below is my problem: Three objects with unknown weights are weighed on a set of scales in all possible combinations giving seven independent measurements (y_1,...,y_7). Each measurement includes a random error term, , with...
3. ### Interpreting a Summary Table in R (Specifically Estimated Coefficients)

I feel like an idiot for asking this question, but I always get mixed up with this. For those curious, I'm using the dataset attached to this post. So I was told in this problem to fit simple regression models with kid_score being the response variable and all the mom categories being the...
4. ### Help with fitting linear models and F-tests in R?

Hello! I need some assistance with these problems dealing with the following data set: "Brains" <- structure(list(Species = structure(c(7, 11, 12, 19, 24, 25, 26, 34, 37, 8, 3, 20, 30, 6, 36, 23, 15, 9, 18, 28, 32, 35, 39, 14, 31, 38, 27, 5, 4, 21, 2, 13, 10, 17, 22, 33, 29, 1, 16)...
5. ### Is the transpose of a g inverse the g inverse of transpose of the matrix?

While working with linear models,I came across the situation where the proof of some results might be easier if we apply that transpose of g inverse is g inverse of transpose of a matrix.In R this codes library(MASS) x1=c(1,0,1,1) x2=c(3,6,5,2) x3=c(2,4,6,1) x4=c(3,5,2,1)...
6. ### Bonferroni correction in GLMs

I'm running a series of General Linear Models, attempting to explain factor x with 6 other factors; individually, all 2-way and all 3-way. Due to the large number of significances which I am trying to find is it neccessary to apply a Bonferroni correction to effectively decrease the p-value...