{"id":683,"date":"2023-07-29T02:38:21","date_gmt":"2023-07-29T02:38:21","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/"},"modified":"2023-07-29T02:38:21","modified_gmt":"2023-07-29T02:38:21","slug":"%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 r"},"content":{"rendered":"

<\/p>\n

\n

\u0e1a\u0e48\u0e2d\u0e22\u0e04\u0e23\u0e31\u0e49\u0e07\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e40\u0e23\u0e32\u0e17\u0e33\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22 \u0e40\u0e23\u0e32\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e32\u0e1e\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e43\u0e2b\u0e49\u0e40\u0e2b\u0e47\u0e19\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e1c\u0e2a\u0e21\u0e04\u0e48\u0e32 x \u0e41\u0e25\u0e30 y \u0e41\u0e1a\u0e1a\u0e15\u0e48\u0e32\u0e07\u0e46<\/span><\/p>\n

\u0e42\u0e0a\u0e04\u0e14\u0e35\u0e17\u0e35\u0e48 R \u0e17\u0e33\u0e43\u0e2b\u0e49\u0e01\u0e32\u0e23\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e1e\u0e2d\u0e22\u0e15\u0e4c\u0e04\u0e25\u0e32\u0e27\u0e14\u0e4c\u0e40\u0e1b\u0e47\u0e19\u0e40\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e07\u0e48\u0e32\u0e22\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 plot()<\/strong> \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e48\u0e19:<\/span> <\/p>\n

 #create some fake data<\/span>\ndata <- data.frame(x = c(1, 1, 2, 3, 4, 4, 5, 6, 7, 7, 8, 9, 10, 11, 11),\n                   y = c(13, 14, 17, 12, 23, 24, 25, 25, 24, 28, 32, 33, 35, 40, 41))\n\n#create scatterplot of data<\/span>\nplot(data$x, data$y)\n<\/strong><\/pre>\n
\"Scatterplot<\/p>\n
 \u0e19\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e19\u0e35\u0e49\u0e22\u0e31\u0e07\u0e07\u0e48\u0e32\u0e22\u0e15\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e25\u0e07\u0e43\u0e19 Scatterplot \u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 abline()<\/strong><\/span><\/p>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e48\u0e19:<\/span> <\/p>\n
 #fit a simple linear regression model<\/span>\nmodel <- lm(y ~ x, data = data)\n\n#add the fitted regression line to the scatterplot<\/span>\nabline(model)<\/strong> <\/pre>\n
\"\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19<\/p>\n
 \u0e19\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e19\u0e35\u0e49\u0e40\u0e23\u0e32\u0e22\u0e31\u0e07\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e2a\u0e49\u0e19\u0e0a\u0e48\u0e27\u0e07\u0e04\u0e27\u0e32\u0e21\u0e21\u0e31\u0e48\u0e19\u0e43\u0e08\u0e43\u0e2b\u0e49\u0e01\u0e31\u0e1a\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 \u0e17\u0e33\u0e19\u0e32\u0e22 () \u0e44\u0e14\u0e49<\/strong> :<\/span> <\/p>\n
 #define range of x values<\/span>\nnewx = seq(min(data$x),max(data$x),by = 1)\n\n#find 95% confidence interval for the range of x values<\/span> \nconf_interval <- predict(model, newdata=data.frame(x=newx), interval=\"confidence\",\n                         level = 0.95)\n\n#create scatterplot of values with regression line<\/span>\nplot(data$x, data$y)\nabline(model)\n\n#add dashed lines (lty=2) for the 95% confidence interval<\/span>\nlines(newx, conf_interval[,2], col=\"blue\", lty=2)\nlines(newx, conf_interval[,3], col=\"blue\", lty=2)\n<\/strong><\/pre>\n
\"\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e17\u0e35\u0e48\u0e21\u0e35\u0e0a\u0e48\u0e27\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e31\u0e48\u0e19\u0e43\u0e19<\/p>\n
 \u0e2b\u0e23\u0e37\u0e2d\u0e40\u0e23\u0e32\u0e2d\u0e32\u0e08\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e0a\u0e48\u0e27\u0e07\u0e40\u0e27\u0e25\u0e32\u0e01\u0e32\u0e23\u0e17\u0e33\u0e19\u0e32\u0e22\u0e25\u0e07\u0e43\u0e19\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e41\u0e17\u0e19\u0e42\u0e14\u0e22\u0e01\u0e32\u0e23\u0e23\u0e30\u0e1a\u0e38\u0e1b\u0e23\u0e30\u0e40\u0e20\u0e17\u0e0a\u0e48\u0e27\u0e07\u0e40\u0e27\u0e25\u0e32\u0e43\u0e19\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 \u0e01\u0e32\u0e23\u0e17\u0e33\u0e19\u0e32\u0e22 ()<\/strong> :<\/span> <\/p>\n
 #define range of x values<\/span>\nnewx = seq(min(data$x),max(data$x),by = 1)\n\n#find 95% prediction interval for the range of x values<\/span> \npred_interval <- predict(model, newdata=data.frame(x=newx), interval=\"prediction\"<\/span> ,\n                         level = 0.95)\n\n#create scatterplot of values with regression line<\/span>\nplot(data$x, data$y)\nabline(model)\n\n#add dashed lines (lty=2) for the 95% confidence interval<\/span>\nlines(newx, pred_interval[,2], col=\"red\", lty=2)\nlines(newx, pred_interval[,3], col=\"red\", lty=2)\n<\/strong><\/pre>\n
\"\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e40\u0e2a\u0e49\u0e19\u0e0a\u0e48\u0e27\u0e07\u0e40\u0e27\u0e25\u0e32\u0e01\u0e32\u0e23\u0e17\u0e33\u0e19\u0e32\u0e22\u0e43\u0e19<\/p>\n
 \u0e2a\u0e38\u0e14\u0e17\u0e49\u0e32\u0e22\u0e19\u0e35\u0e49 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e17\u0e33\u0e43\u0e2b\u0e49\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e27\u0e22\u0e07\u0e32\u0e21\u0e21\u0e32\u0e01\u0e02\u0e36\u0e49\u0e19\u0e44\u0e14\u0e49\u0e42\u0e14\u0e22\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e0a\u0e37\u0e48\u0e2d\u0e40\u0e23\u0e37\u0e48\u0e2d\u0e07 \u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e0a\u0e37\u0e48\u0e2d\u0e41\u0e01\u0e19 \u0e41\u0e25\u0e30\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e23\u0e39\u0e1b\u0e23\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e08\u0e38\u0e14\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e41\u0e15\u0e48\u0e25\u0e30\u0e08\u0e38\u0e14<\/span> <\/p>\n
 plot(data$x, data$y,\n     main = \"Scatterplot of x vs. y\", #add title<\/span>\n     pch=16, #specify points to be filled in<\/span>\n     xlab='x', #change x-axis name\n<\/span>ylab='y') #change y-axis name<\/span>\n\nabline(model, col='steelblue') #specify color of regression line<\/span><\/span>\n<\/strong><\/pre>\n
\"\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e1e\u0e23\u0e49\u0e2d\u0e21<\/p>\n
 \u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h2>\n
 \u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e14\u0e33\u0e40\u0e19\u0e34\u0e19\u0e01\u0e32\u0e23\u0e07\u0e32\u0e19\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b\u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e43\u0e19 R:<\/span><\/p>\n
 \u0e27\u0e34\u0e18\u0e35\u0e15\u0e34\u0e14\u0e1b\u0e49\u0e32\u0e22\u0e01\u0e33\u0e01\u0e31\u0e1a\u0e08\u0e38\u0e14\u0e1a\u0e19 Scatterplot \u0e43\u0e19 R<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 Jitter \u0e43\u0e19 R \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a point cloud<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0e1a\u0e48\u0e2d\u0e22\u0e04\u0e23\u0e31\u0e49\u0e07\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e40\u0e23\u0e32\u0e17\u0e33\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22 \u0e40\u0e23\u0e32\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-683","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\n\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R - Statology<\/title>\n<meta name=\"description\" content=\"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 Scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/th\/\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\/\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R - Statology\" \/>\n<meta property=\"og:description\" content=\"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 Scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/th\/\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T02:38:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/scatterregression1.png\" \/>\n<meta name=\"author\" content=\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0e19\u0e32\u0e17\u0e35\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/\",\"url\":\"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/\",\"name\":\"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R - Statology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/th\/#website\"},\"datePublished\":\"2023-07-29T02:38:21+00:00\",\"dateModified\":\"2023-07-29T02:38:21+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/th\/#\/schema\/person\/7c9bb3d0f799d0f1b17883495e1de332\"},\"description\":\"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 Scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/#breadcrumb\"},\"inLanguage\":\"th\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0e1a\u0e49\u0e32\u0e19\",\"item\":\"https:\/\/statorials.org\/th\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 r\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/th\/#website\",\"url\":\"https:\/\/statorials.org\/th\/\",\"name\":\"Statorials\",\"description\":\"\u0e04\u0e33\u0e41\u0e19\u0e30\u0e19\u0e33\u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13\u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e17\u0e32\u0e07\u0e2a\u0e16\u0e34\u0e15\u0e34!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/th\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"th\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/th\/#\/schema\/person\/7c9bb3d0f799d0f1b17883495e1de332\",\"name\":\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"th\",\"@id\":\"https:\/\/statorials.org\/th\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/th\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/th\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19\"},\"description\":\"\u0e2a\u0e27\u0e31\u0e2a\u0e14\u0e35 \u0e09\u0e31\u0e19\u0e0a\u0e37\u0e48\u0e2d\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e28\u0e32\u0e2a\u0e15\u0e23\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e40\u0e01\u0e29\u0e35\u0e22\u0e13\u0e2d\u0e32\u0e22\u0e38\u0e41\u0e25\u0e49\u0e27 \u0e41\u0e25\u0e30\u0e1c\u0e31\u0e19\u0e15\u0e31\u0e27\u0e21\u0e32\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e2a\u0e2d\u0e19\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e42\u0e14\u0e22\u0e40\u0e09\u0e1e\u0e32\u0e30 \u0e14\u0e49\u0e27\u0e22\u0e1b\u0e23\u0e30\u0e2a\u0e1a\u0e01\u0e32\u0e23\u0e13\u0e4c\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e40\u0e0a\u0e35\u0e48\u0e22\u0e27\u0e0a\u0e32\u0e0d\u0e17\u0e35\u0e48\u0e01\u0e27\u0e49\u0e32\u0e07\u0e02\u0e27\u0e32\u0e07\u0e43\u0e19\u0e2a\u0e32\u0e02\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34 \u0e09\u0e31\u0e19\u0e01\u0e23\u0e30\u0e15\u0e37\u0e2d\u0e23\u0e37\u0e2d\u0e23\u0e49\u0e19\u0e17\u0e35\u0e48\u0e08\u0e30\u0e41\u0e1a\u0e48\u0e07\u0e1b\u0e31\u0e19\u0e04\u0e27\u0e32\u0e21\u0e23\u0e39\u0e49\u0e02\u0e2d\u0e07\u0e09\u0e31\u0e19\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e2a\u0e23\u0e34\u0e21\u0e28\u0e31\u0e01\u0e22\u0e20\u0e32\u0e1e\u0e19\u0e31\u0e01\u0e40\u0e23\u0e35\u0e22\u0e19\u0e1c\u0e48\u0e32\u0e19 Statorials. \u0e23\u0e39\u0e49\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21\",\"sameAs\":[\"https:\/\/statorials.org\/th\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R - Statology","description":"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 Scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/th\/\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\/","og_locale":"th_TH","og_type":"article","og_title":"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R - Statology","og_description":"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 Scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46","og_url":"https:\/\/statorials.org\/th\/\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\/","og_site_name":"Statorials","article_published_time":"2023-07-29T02:38:21+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/scatterregression1.png"}],"author":"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19","twitter_card":"summary_large_image","twitter_misc":{"Written by":"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19","Est. reading time":"1 \u0e19\u0e32\u0e17\u0e35"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/","url":"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/","name":"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R - Statology","isPartOf":{"@id":"https:\/\/statorials.org\/th\/#website"},"datePublished":"2023-07-29T02:38:21+00:00","dateModified":"2023-07-29T02:38:21+00:00","author":{"@id":"https:\/\/statorials.org\/th\/#\/schema\/person\/7c9bb3d0f799d0f1b17883495e1de332"},"description":"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 Scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 R \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46","breadcrumb":{"@id":"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/#breadcrumb"},"inLanguage":"th","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/th\/%e0%b8%9e%e0%b8%a5%e0%b9%87%e0%b8%ad%e0%b8%95%e0%b8%81%e0%b8%a3%e0%b8%b0%e0%b8%88%e0%b8%b2%e0%b8%a2%e0%b8%94%e0%b9%89%e0%b8%a7%e0%b8%a2%e0%b9%80%e0%b8%aa%e0%b9%89%e0%b8%99%e0%b8%96%e0%b8%94%e0%b8%96\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u0e1a\u0e49\u0e32\u0e19","item":"https:\/\/statorials.org\/th\/"},{"@type":"ListItem","position":2,"name":"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 scatterplot \u0e14\u0e49\u0e27\u0e22\u0e40\u0e2a\u0e49\u0e19\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e43\u0e19 r"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/th\/#website","url":"https:\/\/statorials.org\/th\/","name":"Statorials","description":"\u0e04\u0e33\u0e41\u0e19\u0e30\u0e19\u0e33\u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13\u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e17\u0e32\u0e07\u0e2a\u0e16\u0e34\u0e15\u0e34!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/th\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"th"},{"@type":"Person","@id":"https:\/\/statorials.org\/th\/#\/schema\/person\/7c9bb3d0f799d0f1b17883495e1de332","name":"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19","image":{"@type":"ImageObject","inLanguage":"th","@id":"https:\/\/statorials.org\/th\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/th\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/th\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u0e14\u0e23.\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e41\u0e2d\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e31\u0e19"},"description":"\u0e2a\u0e27\u0e31\u0e2a\u0e14\u0e35 \u0e09\u0e31\u0e19\u0e0a\u0e37\u0e48\u0e2d\u0e40\u0e1a\u0e19\u0e08\u0e32\u0e21\u0e34\u0e19 \u0e28\u0e32\u0e2a\u0e15\u0e23\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e40\u0e01\u0e29\u0e35\u0e22\u0e13\u0e2d\u0e32\u0e22\u0e38\u0e41\u0e25\u0e49\u0e27 \u0e41\u0e25\u0e30\u0e1c\u0e31\u0e19\u0e15\u0e31\u0e27\u0e21\u0e32\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e2a\u0e2d\u0e19\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e42\u0e14\u0e22\u0e40\u0e09\u0e1e\u0e32\u0e30 \u0e14\u0e49\u0e27\u0e22\u0e1b\u0e23\u0e30\u0e2a\u0e1a\u0e01\u0e32\u0e23\u0e13\u0e4c\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e40\u0e0a\u0e35\u0e48\u0e22\u0e27\u0e0a\u0e32\u0e0d\u0e17\u0e35\u0e48\u0e01\u0e27\u0e49\u0e32\u0e07\u0e02\u0e27\u0e32\u0e07\u0e43\u0e19\u0e2a\u0e32\u0e02\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34 \u0e09\u0e31\u0e19\u0e01\u0e23\u0e30\u0e15\u0e37\u0e2d\u0e23\u0e37\u0e2d\u0e23\u0e49\u0e19\u0e17\u0e35\u0e48\u0e08\u0e30\u0e41\u0e1a\u0e48\u0e07\u0e1b\u0e31\u0e19\u0e04\u0e27\u0e32\u0e21\u0e23\u0e39\u0e49\u0e02\u0e2d\u0e07\u0e09\u0e31\u0e19\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e2a\u0e23\u0e34\u0e21\u0e28\u0e31\u0e01\u0e22\u0e20\u0e32\u0e1e\u0e19\u0e31\u0e01\u0e40\u0e23\u0e35\u0e22\u0e19\u0e1c\u0e48\u0e32\u0e19 Statorials. \u0e23\u0e39\u0e49\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21","sameAs":["https:\/\/statorials.org\/th"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/posts\/683","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/comments?post=683"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/posts\/683\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/media?parent=683"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/categories?post=683"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/th\/wp-json\/wp\/v2\/tags?post=683"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}