data.frame(销售收入=data$销售收入,点预测值=pre_model,置信下限=con_int[,2],置信上限=con_int[,3],预测下限=pre_int[,2],预测上限=pre_int[,3]) 1. 2. 3. 4. 5. 3.2 绘制置信带和预测带 library(investr) plotFit(model,data=data,interval = "both",level=0.95,col.conf = "skyblue3",...
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在统计学中,回归分析(regression analysis)指的是确定两种或两种以上变量间相互依赖的定量关系的一种统计分析方法。回归分析按照涉及的变量的多少,分为一元回归和多元回归分析;按照因变量的多少,可分为简单回归分析和多重回归分析;按照自变量和因变量之间的关系类型,可分为线性回归分析和非线性回归分析。
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summary(model.2) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -9.00e+02 2.70e+02 -3.33 0.0046 ** Length 5.86e+00 1.75e+00 3.35 0.0044 ** Length2 -9.42e-03 2.83e-03 -3.33 0.0045 ** Multiple R-squared: 0.434, Adjusted R-squared: 0.358 ...
如果只有一个单一的自变量,那就是所谓的简单线性回归(simple linear regression),否则,称为多元回归(multiple regression),这两个模型都假定因变量是连续的。对其他类型的因变量,即使是分类任务,使用回归方法也是可能的。逻辑回归(logistic regression)可以用来对二元分类的结果建模;泊松分布(Possion regression)可以用来对...
(age),5) + sex, data=titanic3) f ## Frequencies of Missing Values Due to Each Variable ## survived age sex ## 0 263 0 ## ## Logistic Regression Model ## ## lrm(formula = survived ~ rcs(sqrt(age), 5) + sex, data = titanic3) ## ## ## Model Likelihood Discrimination Rank ...
predictions <- predict(model, test.data) RMSE(predictions, test.data$medv) #这里注意对不同的数据集改动medv的名字 输出:5.714944,这就是模型在测试集上的RMSE 可视化一下 plot(test.data$medv, predictions,main="Prediction performance of kNN regression") #add a reference line x=y abline(0,1,...
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Estimate: This is the weight given to the variable. In the simple regression case (one variable plus the intercept), for every one dollar increase in Spend, the model predicts an increase of $10.6222.estimate解释为相应的自变量改变一个单位，应变量的改变量。Std. Error为它的标准误，t value为...