在此單元中,我們將會使用「簡單線性迴歸」來對比多個線性迴歸。 我們也會查看名為 R2的計量,此計量通常用來評估線性迴歸模型的品質。 多元線性迴歸 「多個線性迴歸」會將數個功能和一個變數之間的關聯性模型化。 在數學上,其與簡單線性迴歸相同,而且通常符合使用相同成本函式的功能,但有更多功能。
1 Simple Linear Regression Load the data set pressure from the datasets package in R. Perform a Simple Linear Regres sion on the two variables. Provide the regression equation, coefficients table, and anova table. Summarize your findings. What is the relationship between the t statistic for temp...
2 Multiple Linear Regression Load the swiss data set from the ‘datasets’ package in R. Find the correlation matrix and print the pairwise scatterplots. What variables seem to be related? Run a Multiple Regression on Fertility using all of the other variables as predictors. Print the model ...
1 Simple Linear Regression Load the data set pressure from the datasets package in R. Perform a Simple Linear Regression on the two variables. Provide the regression equation, coefficients table, and anova table. Summarize your findings. What is the relationship between the t statistic for temperat...
multiple_linear Regression with R 1、先通过代码对数据进行预处理及模型喂养 datasets = read.csv('50_Startups.csv') #数据明确 datasets$State = factor(datasets$State, levels = c("New York", "California", "Florida"), labels = c(1,2,3))...
codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ## ## Residual standard error: 1.854 on 8 degrees of freedom ## Multiple R-squared: 0.9028, Adjusted R-squared: 0.8907 ## F-statistic: 74.33 on 1 and 8 DF, p-value: 2.538e-05 anova(fit) ## Analysis of Variance ...
R provides comprehensive support for multiple linear regression. The topics below are provided in order of increasing complexity. Fitting the Model # Multiple Linear Regression Example fit <- lm(y ~ x1 + x2 + x3, data=mydata) summary(fit) # show results Powered By # Other useful functions...
Multiple Linear Regression 1. 代码语言:javascript 复制 Fertility Agriculture Examination Education Catholic Infant.Mortality Fertility1.0000.353-0.646-0.6640.4640.417Agriculture0.3531.000-0.687-0.6400.401-0.061Examination-0.646-0.6871.0000.698-0.573-0.114Education-0.664-0.6400.6981.000-0.154-0.099Catholic0.4640.401...
2 Multiple Linear Regression Load the swiss data set from the ‘datasets’ package in R. Find the correlation matrix and print the pairwise scatterplots. What variables seem to be related? Run a Multiple Regression on Fertility using all of the other variables as predictors. Print the model ...
用到的包:MASS 提前需要明确一个问题: R和SPSS的回归结果不一定是一致的。因为R逐步回归是基于AIC指标的,而SPSS基于p值或F值。根据AIC准则,AIC值越小表明模型拟合效果越好。R逐步回归主要分为两步 第一步:lm…