linear regression

Hello I am looking at financial data (Revenue for Example) over a 5-10 year time frame and want to classify the data based on trends observed. Am looking for test(s) I can explore to help me create the trends. My Statistical knowledge is founded in University level courses of a number of years...

Hello and Thanks I am looking at financial data (Revenue for Example) over a 5 year time frame and want to classify the data based on trends observed. Am looking for test(s) I can explore to help me create the trends. My Statistical knowledge is founded in University level courses of a number...

If we have stochastic regressors, we are drawing random pairs $(y_i,\vec{x}_i)$ for a bunch of $i$, the so-called random sample, from a fixed but unknown probabilistic distribution $(y,\vec{x})$. Theoretically speaking, the random sample allows us to learn about or estimate some parameters of...

Hi there, I am running a Multiple Linear Regression analysis. I have 2 predictor variables (self-worth and self-acceptance) and 1 criterion variable (self-esteem). As hypothesized, self-worth and self-acceptance reliably predicted the scores on self-esteem (eg. higher scores on the...

I have attached my practice sample final for my college statistics course on linear regression. All of the answers are multiple choice, and I need help finding the right answers for questions 5-39 as soon as possible. Please, please, help me if you can, as soon as you can! I need the right...

Hi all So I just want to do a quick linear regression, but when I initially tried I had an error (r(2000 no observations). I've realised my issue was that I have several variables with missing values. I have a 3-level dependent variable (1,2,3). Then I have several variables that indicate...

I have a time series dataset. The, X (Independent variable) is time and is denoted as 1,2,3,4,5,6..1000.etc Y (Dependent variable ) is a percentage scale as 99%, 98.7%, 96%, 91% ...etc. This is a continuous data set. I have 1000 such data points. The first 700 data points used as training set...

Dear all, I have 3 fitted lines: Y = b0 + (b1)X Y = (0.5)b0 + (b1)X Y = b0 + 0.5(b1)X Where and In addition to the the 3 equations above, using the information provided by the image attached I would like to determine (theoretically), which one of the three fitted lines (listed...

Hi, I am experiencing difficulties in understanding the following question; I have been assigned two variables (X and Y), and have been given a data-set which consists of 50 data entries for both variables X and Y, ranging from 15-60. I have also calculated ƩX, ƩX^2, ƩXY and ƩY. Essentially...

(crossposting from here) I am trying to do many linear regressions on series of data points where each data point is associated with a standard deviation. For simplicity sake, let's say that each series has 3 points (of mean measurements), each of which has its own standard deviation. Series...

Hi All, I have a complicated question and can't find a resource that answers it comprehensively. I'm designing a study looking for linkage between a complex phenotype; how people respond to various different topical treatments. This will not be published in a scientific journal so will be...

Hello all, I've used perused this site numerous times in the past for assistance with statistical issues, but this is my first post. I work with fish, and am specifically interested in the environmental effects on these fish. I ran regressions of growth increment (growth experienced in a...

Hi, I have some data where each subject is presented with pairwise combinations of four test items (A, B, C and D). Each observation is a subjective difference between the two items (the exact details of the experiment are not necessary but I can expand if it helps): obs(A, B) = A - B...

Hi, I am facing a strange problem with a software patented in the USA. It is a location evaluation software, which offers insights on determining the best location for starting-up a gas station / petrol station. While reading the patent thoroughly, I feel that the software operates based...

I need to use the penalized models (lasso, ridge) for linear regression. In R, I use the "penalized" package. The output is a penfit object. If I want to find the in-sample and predictive correlation, how can I do that in R? Converting the penfit oject to glm maybe a good idea,but I don't...

I do not understand how to correct for autocorrelation. One website easily describes how to do it in excel however I could not find any sources to verify this: https://analysights.wordpress.com/tag/data-analysis-using-microsoft-excel/ This is the site that explains how to correct, however...

Hi all! I have what is likely a simple regression problem. I am imputing Variable X from survey Y to survey Z. I am using a simple linear regression model and the predict function in STATA. So, I run a regression on Variable X in survey Y, using a host of independent dummy variables...

Hi to all, I am also using the ARDL in my model. So I used the varsoc variable to determine the optimum lag for my variables, than I used the ADF to test whether my variables have a unit root or not and also I used the Zivot-Andrews test for structural breaks. Now I am struggling with the...

I have a dataset in which I am performing linear regression with multiple covariates. The goal of the analysis is to identify important covariates (categorical and continuous) which have an important effect on the response. This is a natural resource dataset so it is not as clean cut as other...

During research, you have asked your participants whether or not they have ever experienced financial difficulties (yes or no). You have three age-groups (16-20; 21-25; 26-30), and you predict that those in the 26-30 group have a greater risk of experiencing financial difficulties than those who...