x <- c(18,23,25,35,65,54,34,56,72,19) # build X(predictor) y <- c(202,168,180,156,169,174,172,153,199,193) # build Y(dependent variable) mode(x) # view the type of x plot(x,y) # plot the graph model <- lm(y ~ x) # build the linear model abline(model) # add the line in graph
数据是自己编的，所以图有点假。
summary(model)
上图为各种参数，还有各种检验。
如果想要输出建好的模型的方程的话，可以以下面的方式，当然还可以用predict()函数
pridict <- model$coefficients[1] + model$coefficients[1]*100 # we can pridict 100 in model through this way print(pridict) # print result
原文：https://www.cnblogs.com/zijidefengge/p/11939428.html