回歸分析作業 1044794 毛勝煒 ![](https://i.imgur.com/LoEmosG.png) ![](https://i.imgur.com/q2SH1Lm.png) d<-c(155.5,195.0,197.0,207.0,214.9,230.0,239.5,242.0,252.5,255.0,259.9,259.9,269.9,270.0,274.9,283.0,285.0,285.0,299.0,299.9, 319.0,319.9,324.5,330.0,336.0,339.0,340.0,355.0,359.9,359.9) stem(d) hist(x=d,main="",xlab="房價",ylab="數量") # Summary statistics for the 30 sample prices d<-c(155.5,195.0,197.0,207.0,214.9,230.0,239.5,242.0,252.5,255.0,259.9,259.9,269.9,270.0,274.9,283.0,285.0,285.0,299.0,299.9, 319.0,319.9,324.5,330.0,336.0,339.0,340.0,355.0,359.9,359.9) 平均數 result.mean <- mean(d) print(result.mean) ![](https://i.imgur.com/d7PPM84.png) 總和 ![](https://i.imgur.com/5S03Ike.png) 中位數 median.result <- median(d) print(median.result) ![](https://i.imgur.com/WU6luVw.png) 眾數 ![](https://i.imgur.com/XpvU2rT.png) 變異數與標準差 ![](https://i.imgur.com/hKdvQWC.png) # Simulate 500 and 1000 data form normal distribution. 500: rnorm(500, mean = 10, sd = 1) ![](https://i.imgur.com/U2hc8K8.png) 1000: rnorm(1000, mean = 10, sd = 1) ![](https://i.imgur.com/088cas4.png) 500的正態分佈直方圖 ![](https://i.imgur.com/pLzEMuc.png) 1000的正態分佈直方圖 ![](https://i.imgur.com/rZ7xdKo.png) smooth curve x = seq(-5, 5, 0.1) plot(x = x, y = dnorm(x), type="l", bty="n") ![](https://i.imgur.com/ozdPDv3.png)