insignificant

Hi all, I run 12 regressions on the bid premium in a Event Study. For the first 7 regressions, when adding the explanatory variables (after the control variables for the first regression), the constant or intercept stays insignificant and explains less after adding the variables. But from...

Please pardon me if you find this question very silly but this doubt has been troubling me for some time now whenever I want to run a regression. I am working on SAS. I have a dataset which has 24,000 observations, and there are about 50 independent variables. There are no missing values...

Why stepAIC gives a model with unsignificant variables in the summary(model) ? I would like to know what environmental variables allows to explain the presence of several species (binomial glm). I used a stepAIC procedure to select the best model. But when I do a summary(model), some...

situation : there are four variables, including exogenous variable x, mediator m1 and m2, and endogenous variable y. x m1 y m2 1. I did mediation analysis on two paths x --> m1 --> y x --> m2 --> y (i did sobel test) the sobel test results indicate that x>m1>y path is...

Hi all, I need your help is the following: My Model is as the following Dependent variable is GDP per capita growth rate Explanatory variables are Domestic Investment (measured in Capital formation as percentage of GDP) Population Growth Human Capital (Measured in enrollment in...

I ran a multiple regression, using the following categorical dependent variables which ranked current job satisfaction: 0=not satisfied at all 1=somewhat not satisfied 2=neutral (base outcome) 3=somewhat satisfied 4=definitely satisfied one of my independent variables is job_number (# of jobs...