regressão

I ran a simple regression to a database with a product (product, Volume, Price). It ran perfectly. But I would like to run t ... nada_na_origem: 1432.443189 coeficiente_de_correlação_(de_Pearson): 0.331966 p-value: 0.000003 erro_padrão: 86.869651

I need to do the linear regression calculation, but I read that there is no possibility to use/install scipy on windows. Is t ... to scipy to perform this type of calculation? Or if there is any way to install scipy on windows, it is also welcome! thank.

Hello, good afternoon! Would you like to know, how to perform a linear regression in dic with subdivided portion, detail I n ... tor2) predicao<-cbind(predicao, predict(m1, newdata=predicao, interval="confidence") To make that band 95% of the curve.

closed. this question is out of scope and is not currently accepting answers. ... any guidance you can give me so that I can justify the use of logistic regression in the selection of variables for the glmm

Friends, My doubt is as follows, I am using the following code in R for construction of a ROC curve , but I can not say if i ... ne(a = 0, b = 1, lwd = 2, lty = 2) perf.auc <- performance(pred, measure = "auc") (area <- performance(pred, "auc"))

I want to do a simple linear regression directly in the database. I noticed that postgresql already has some statistical func ... this better. In a simple regressionY=aX+b, regr_intercept(Y, X) would it be equal to " b "and regr_slope(Y, X) equal to"a"?

I have the following dataset in R: x <- c(0.1, 3, 4, 5, 9, 12, 13, 19, 22, 25) y <- c(5, 12, 17, 23, 28, 39, 26, 31, ... od = 'nls', formula = 'y~a*x^b', method.args = list(start = list(a = 1, b = 1)), se = FALSE)

Hello, good afternoon! I need to perform a nonlinear regression analysis nls(), and I was suggested the mitscherlich Model: ... , 731.7253377, 317.1877126, 621.6366503, 794.4532011, 353.1853056, 688.7228286)), class = "data.frame", row.names = 82:108)

I'm trying to learn how to fit a quadratic regression model. The dataset can be downloaded at: https://filebin.net/ztr9har5n ... .iloc[:,0] ## How to fit a quadratic regression model using sklearn and statsmodels ? I I can only use linear regression...

I'm creating several templates, then making the selection based on the AICc. Among these models I'm creating, I have a catego ... he fire on a dummie variable and make the three models presented rotate that way. Anyone who can help, I thank you right now.

I'm running multiple linear regressions in R. I initially ran with the "pooled" effect and it worked fine. When I try to do t ... , model = "within") summay(fixo) ##Efeito Aleatório random <- plm(Y ~ X, data = pdata, model = "random") summary(random)

I have the following datasets: x1 <- c(0.00113, 0.00123, 0.00125, 0.0013, 0.00136, 0.0014, 0.00146, 0.00151,0.00 ... lues for the initial estimates of the parameters. Note: the parameters are as follows: a t12 t13 t21 t23 t31 t32