{"id":4172,"date":"2023-07-13T02:55:29","date_gmt":"2023-07-13T02:55:29","guid":{"rendered":"https:\/\/statorials.org\/hi\/%e0%a4%86%e0%a4%b0-%e0%a4%8f%e0%a4%b2%e0%a4%8f%e0%a4%ae-%e0%a4%b8%e0%a5%87-%e0%a4%aa%e0%a5%80-%e0%a4%ae%e0%a4%be%e0%a4%a8-%e0%a4%a8%e0%a4%bf%e0%a4%95%e0%a4%be%e0%a4%b2%e0%a5%87%e0%a4%82\/"},"modified":"2023-07-13T02:55:29","modified_gmt":"2023-07-13T02:55:29","slug":"%e0%a4%86%e0%a4%b0-%e0%a4%8f%e0%a4%b2%e0%a4%8f%e0%a4%ae-%e0%a4%b8%e0%a5%87-%e0%a4%aa%e0%a5%80-%e0%a4%ae%e0%a4%be%e0%a4%a8-%e0%a4%a8%e0%a4%bf%e0%a4%95%e0%a4%be%e0%a4%b2%e0%a5%87%e0%a4%82","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/%e0%a4%86%e0%a4%b0-%e0%a4%8f%e0%a4%b2%e0%a4%8f%e0%a4%ae-%e0%a4%b8%e0%a5%87-%e0%a4%aa%e0%a5%80-%e0%a4%ae%e0%a4%be%e0%a4%a8-%e0%a4%a8%e0%a4%bf%e0%a4%95%e0%a4%be%e0%a4%b2%e0%a5%87%e0%a4%82\/","title":{"rendered":"R \u092e\u0947\u0902 lm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0938\u0947 p \u092e\u093e\u0928 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902"},"content":{"rendered":"

<\/p>\n

\n

\u0906\u092a R \u092e\u0947\u0902 lm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928<\/a> \u0938\u0947 p-\u092e\u093e\u0928 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u093f\u092e\u094d\u0928 \u0935\u093f\u0927\u093f\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n

\u0935\u093f\u0927\u093f 1: \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0938\u0947 \u0938\u092e\u0917\u094d\u0930 P \u092e\u093e\u0928 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/strong><\/span><\/p>\n

 #define function to extract overall p-value of model<\/span>\noverall_p <- function<\/span> (my_model) {\n    f <- summary(my_model)$fstatistic\n    p <- pf(f[1],f[2],f[3],lower. tail<\/span> =F)\n    attributes(p) <- NULL\n    return<\/span> (p)\n}\n\n#extract overall p-value of model<\/span>\noverall_p(model)\n<\/strong><\/pre>\n
 \u0935\u093f\u0927\u093f 2: \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0915\u0947 \u0932\u093f\u090f \u0905\u0932\u0917-\u0905\u0932\u0917 P \u092e\u093e\u0928 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/strong><\/span><\/p>\n
 summary(model)$coefficients[,4]<\/strong><\/pre>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0909\u0926\u093e\u0939\u0930\u0923 \u0926\u093f\u0916\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0935\u094d\u092f\u0935\u0939\u093e\u0930 \u092e\u0947\u0902 \u0907\u0928 \u0935\u093f\u0927\u093f\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902\u0964<\/span><\/p>\n
 \u0909\u0926\u093e\u0939\u0930\u0923: R \u092e\u0947\u0902 lm() \u0938\u0947 P \u092e\u093e\u0928 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/strong><\/span><\/h2>\n
 \u092e\u093e\u0928 \u0932\u0940\u091c\u093f\u090f \u0915\u093f \u0939\u092e \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u090f\u0915\u093e\u0927\u093f\u0915 \u0930\u0948\u0916\u093f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928<\/a> \u092e\u0949\u0921\u0932 \u0915\u094b \u0906\u0930 \u092e\u0947\u0902 \u092b\u093f\u091f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (rating=c(67, 75, 79, 85, 90, 96, 97),\n                 points=c(8, 12, 16, 15, 22, 28, 24),\n                 assists=c(4, 6, 6, 5, 3, 8, 7),\n                 rebounds=c(1, 4, 3, 3, 2, 6, 7))\n\n#fit multiple linear regression model\n<\/span>model <- lm(rating ~ points + assists + rebounds, data=df)\n<\/strong><\/pre>\n
 \u0939\u092e \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0915\u093e \u092a\u0942\u0930\u093e \u0938\u093e\u0930\u093e\u0902\u0936 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0938\u093e\u0930\u093e\u0902\u0936()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #view model summary\n<\/span>summary(model)\n\nCall:\nlm(formula = rating ~ points + assists + rebounds, data = df)\n\nResiduals:\n      1 2 3 4 5 6 7 \n-1.5902 -1.7181 0.2413 4.8597 -1.0201 -0.6082 -0.1644 \n\nCoefficients:\n            Estimate Std. Error t value Pr(>|t|)   \n(Intercept) 66.4355 6.6932 9.926 0.00218 **\npoints 1.2152 0.2788 4.359 0.02232 * \nassists -2.5968 1.6263 -1.597 0.20860   \nrebounds 2.8202 1.6118 1.750 0.17847   \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 3.193 on 3 degrees of freedom\nMultiple R-squared: 0.9589, Adjusted R-squared: 0.9179 \nF-statistic: 23.35 on 3 and 3 DF, p-value: 0.01396\n<\/strong><\/pre>\n
 \u092a\u0930\u093f\u0923\u093e\u092e \u0915\u0947 \u092c\u093f\u0932\u094d\u0915\u0941\u0932 \u0928\u0940\u091a\u0947, \u0939\u092e \u0926\u0947\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0915\u093e \u0938\u092e\u0917\u094d\u0930 \u092a\u0940-\u092e\u093e\u0928 0.01396<\/strong> \u0939\u0948\u0964<\/span><\/p>\n
 \u092f\u0926\u093f \u0939\u092e \u092e\u0949\u0921\u0932 \u0938\u0947 \u0915\u0947\u0935\u0932 \u092f\u0939 \u092a\u0940-\u0935\u0948\u0932\u094d\u092f\u0942 \u0928\u093f\u0915\u093e\u0932\u0928\u093e \u091a\u093e\u0939\u0924\u0947 \u0939\u0948\u0902, \u0924\u094b \u0939\u092e \u0910\u0938\u093e \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0915\u0938\u094d\u091f\u092e \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u092a\u0930\u093f\u092d\u093e\u0937\u093f\u0924 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #define function to extract overall p-value of model<\/span>\noverall_p <- function<\/span> (my_model) {\n    f <- summary(my_model)$fstatistic\n    p <- pf(f[1],f[2],f[3],lower. tail<\/span> =F)\n    attributes(p) <- NULL\n    return<\/span> (p)\n}\n\n#extract overall p-value of model<\/span>\noverall_p(model)\n\n[1] 0.01395572\n<\/strong><\/pre>\n
 \u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0909\u092a\u0930\u094b\u0915\u094d\u0924 \u092e\u0949\u0921\u0932 \u0906\u0909\u091f\u092a\u0941\u091f \u0915\u0947 \u0938\u092e\u093e\u0928 \u0939\u0940 \u092a\u0940-\u092e\u093e\u0928 \u0932\u094c\u091f\u093e\u0924\u093e \u0939\u0948\u0964<\/span><\/p>\n
 \u092e\u0949\u0921\u0932 \u0938\u0947 \u0935\u094d\u092f\u0915\u094d\u0924\u093f\u0917\u0924 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0917\u0941\u0923\u093e\u0902\u0915 \u0915\u0947 \u0932\u093f\u090f \u092a\u0940-\u092e\u093e\u0928 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f, \u0939\u092e \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0938\u093f\u0902\u091f\u0948\u0915\u094d\u0938 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/span><\/p>\n
 #extract p-values for individual regression coefficients in model\nsummary(model)$coefficients[,4] \n\n(Intercept) points assists rebounds \n0.002175313 0.022315418 0.208600183 0.178471275<\/span><\/span>\n<\/strong><\/pre>\n
 \u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u092f\u0939\u093e\u0902 \u0926\u093f\u0916\u093e\u090f \u0917\u090f \u092a\u0940-\u092e\u093e\u0928 \u0909\u092a\u0930\u094b\u0915\u094d\u0924 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0906\u0909\u091f\u092a\u0941\u091f \u092e\u0947\u0902 Pr(> |t|)<\/strong> \u0915\u0949\u0932\u092e \u0915\u0947 \u0905\u0928\u0941\u0930\u0942\u092a \u0939\u0948\u0902\u0964<\/span><\/p>\n
 \u0938\u0902\u092c\u0902\u0927\u093f\u0924:<\/strong> R \u092e\u0947\u0902 lm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0938\u0947 R-\u0938\u094d\u0915\u094d\u0935\u093e\u092f\u0930 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/a><\/span><\/p>\n
 \u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u0938\u0902\u0938\u093e\u0927\u0928<\/strong><\/span><\/h2>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0906\u0930 \u092e\u0947\u0902 \u0905\u0928\u094d\u092f \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0915\u093e\u0930\u094d\u092f \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n
 \u0906\u0930 \u092e\u0947\u0902 \u0938\u0930\u0932 \u0930\u0948\u0916\u093f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a>
 \u0906\u0930 \u092e\u0947\u0902 \u092e\u0932\u094d\u091f\u0940\u092a\u0932 \u0932\u0940\u0928\u093f\u092f\u0930 \u0930\u093f\u0917\u094d\u0930\u0947\u0936\u0928 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a>
 \u0906\u0930 \u092e\u0947\u0902 \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092a\u094d\u0932\u0949\u091f \u0915\u0948\u0938\u0947 \u092c\u0928\u093e\u090f\u0902<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0906\u092a R \u092e\u0947\u0902 lm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0938\u0947 p-\u092e\u093e\u0928 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u093f\u092e\u094d\u0928 \u0935\u093f\u0927\u093f\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902: \u0935\u093f\u0927\u093f 1: \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0938\u0947 \u0938\u092e\u0917\u094d\u0930 P \u092e\u093e\u0928 \u0928\u093f\u0915\u093e\u0932\u0947\u0902 #define function to extract overall p-value of model overall_p <- function (my_model) { f <- summary(my_model)$fstatistic p <- pf(f[1],f[2],f[3],lower. tail =F) attributes(p) <- NULL return (p) } #extract overall […]<\/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-4172","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\nR - \u0938\u094d\u091f\u0947\u091f\u094b\u0932\u0949\u091c\u0940 \u092e\u0947\u0902 lm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0938\u0947 P \u092e\u093e\u0928 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902<\/title>\n<meta name=\"description\" content=\"\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u090f\u0915 \u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0906\u0930 \u092e\u0947\u0902 \u090f\u0932\u090f\u092e() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u0947 \u0906\u0909\u091f\u092a\u0941\u091f \u0938\u0947 \u092a\u0940-\u0935\u0948\u0932\u094d\u092f\u0942 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902\u0964\" \/>\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\/hi\/\u0906\u0930-\u090f\u0932\u090f\u092e-\u0938\u0947-\u092a\u0940-\u092e\u093e\u0928-\u0928\u093f\u0915\u093e\u0932\u0947\u0902\/\" \/>\n<meta property=\"og:locale\" content=\"hi_IN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R - \u0938\u094d\u091f\u0947\u091f\u094b\u0932\u0949\u091c\u0940 \u092e\u0947\u0902 lm() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0938\u0947 P \u092e\u093e\u0928 \u0915\u0948\u0938\u0947 \u0928\u093f\u0915\u093e\u0932\u0947\u0902\" \/>\n<meta property=\"og:description\" content=\"\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u090f\u0915 \u0909\u0926\u093e\u0939\u0930\u0923 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content=\"\u0926\u094d\u0935\u093e\u0930\u093e \u0932\u093f\u0916\u093f\u0924\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u0905\u0928\u0941\u092e\u093e\u0928\u093f\u0924 \u092a\u0922\u093c\u0928\u0947 \u0915\u093e \u0938\u092e\u092f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u092e\u093f\u0928\u091f\" \/>\n<script type=\"application\/ld+json\" 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