regresiion

1. regression

Can I perform a Ridge regression with 100 independent variables and only 30 cases? Thanks in advance
2. Spearman Rank + Quadratic Regression (spps) HELP! x

Hi, I'm trying to find out if there is a significant correlation between salinity and no. of Bivalves found on a shore. I did a Spearman Rank and this was my result: "There was a statistically significant correlation between Salinity and the number of Bivalvia individuals (Spearman Rank...
3. Too many dummy variables in Regression

we have about 50000 models of mobile phone (like Galaxy S7, iPhone 9) in database and the size of data is about 3 million. We want to find the mobile phones that have the least call success rate ( the numbers of successful call divided by total call). We want to run a Regression model to find...
4. AIC computation

(1) Compute the Akaike Information Criterion (AIC) value for the linear regression model Y = b0 + b1*X1 + b2*X2 + b3*X3. The regression model was fitted on a sample of 250 observations and yielded a likelihood value of 0.18. (a) 9.49 (b) 11.43 (c) 25.52 (d) 15.55 (2)...
5. Logistic regression and significance of continuous variables across 3 periods

I'm currently working on a logistic regression analysis in R with a binary response variable (0 = non-used; 1 = used location). I am modeling non-random habitat selection for a species of wildlife. I recently ran into an issue where I need to evaluate non-random habitat selection across 3...
6. Durbin-Watson statistic below 2, fixed effect model

Hello I am asking for your advice. I am working with unbalanced panel data set. Sample contains data about 11 largest Finnish insurance companies, time period is 13 years. Dependent variable is profitability indicator ratio; independent variables are concentration measured by HHI index and...