{"id":1061,"date":"2023-07-27T19:30:41","date_gmt":"2023-07-27T19:30:41","guid":{"rendered":"https:\/\/statorials.org\/hi\/%e0%a4%85%e0%a4%b5%e0%a4%b6%e0%a4%bf%e0%a4%b7%e0%a5%8d%e0%a4%9f-%e0%a4%ae%e0%a4%be%e0%a4%a8%e0%a4%95-%e0%a4%a4%e0%a5%8d%e0%a4%b0%e0%a5%81%e0%a4%9f%e0%a4%bf-%e0%a4%86%e0%a4%b0\/"},"modified":"2023-07-27T19:30:41","modified_gmt":"2023-07-27T19:30:41","slug":"%e0%a4%85%e0%a4%b5%e0%a4%b6%e0%a4%bf%e0%a4%b7%e0%a5%8d%e0%a4%9f-%e0%a4%ae%e0%a4%be%e0%a4%a8%e0%a4%95-%e0%a4%a4%e0%a5%8d%e0%a4%b0%e0%a5%81%e0%a4%9f%e0%a4%bf-%e0%a4%86%e0%a4%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/%e0%a4%85%e0%a4%b5%e0%a4%b6%e0%a4%bf%e0%a4%b7%e0%a5%8d%e0%a4%9f-%e0%a4%ae%e0%a4%be%e0%a4%a8%e0%a4%95-%e0%a4%a4%e0%a5%8d%e0%a4%b0%e0%a5%81%e0%a4%9f%e0%a4%bf-%e0%a4%86%e0%a4%b0\/","title":{"rendered":"\u0906\u0930 \u092e\u0947\u0902 \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u091c\u092c \u092d\u0940 \u0939\u092e R \u092e\u0947\u0902 \u090f\u0915 \u0930\u0947\u0916\u0940\u092f \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u092b\u093f\u091f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u0924\u094b \u092e\u0949\u0921\u0932 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0930\u0942\u092a \u0932\u0947\u0924\u093e \u0939\u0948:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Y = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> X + \u2026 + \u03b2 <sub>i<\/sub><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u091c\u0939\u093e\u0902 \u03f5 X \u0938\u0947 \u0938\u094d\u0935\u0924\u0902\u0924\u094d\u0930 \u090f\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u092a\u0926 \u0939\u0948\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0907\u0938\u0938\u0947 \u0915\u094b\u0908 \u092b\u0930\u094d\u0915 \u0928\u0939\u0940\u0902 \u092a\u0921\u093c\u0924\u093e \u0915\u093f Y \u0915\u0947 \u092e\u0942\u0932\u094d\u092f\u094b\u0902 \u0915\u0940 \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f X \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948, \u092e\u0949\u0921\u0932 \u092e\u0947\u0902 \u0939\u092e\u0947\u0936\u093e \u092f\u093e\u0926\u0943\u091a\u094d\u091b\u093f\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0939\u094b\u0917\u0940\u0964 \u0907\u0938 \u092f\u093e\u0926\u0943\u091a\u094d\u091b\u093f\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0915\u0947 \u092b\u0948\u0932\u093e\u0935 \u0915\u094b \u092e\u093e\u092a\u0928\u0947 \u0915\u093e \u090f\u0915 \u0924\u0930\u0940\u0915\u093e <strong>\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0915\u093e<\/strong> \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u093e \u0939\u0948, \u091c\u094b \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u03f5 \u0915\u0947 \u092e\u093e\u0928\u0915 \u0935\u093f\u091a\u0932\u0928 \u0915\u094b \u092e\u093e\u092a\u0928\u0947 \u0915\u093e \u090f\u0915 \u0924\u0930\u0940\u0915\u093e \u0939\u0948\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0915\u0940 \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0915\u0940 \u0917\u0923\u0928\u093e \u0928\u093f\u092e\u094d\u0928\u093e\u0928\u0941\u0938\u093e\u0930 \u0915\u0940 \u091c\u093e\u0924\u0940 \u0939\u0948:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f = \u221a <span style=\"border-top: 1px solid black;\">\u090f\u0938\u090f\u0938 <sub>\u0905\u0935\u0936\u0947\u0937<\/sub> \/ \u0921\u0940\u090f\u092b <sub>\u0905\u0935\u0936\u0947\u0937<\/sub><\/span><\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0938\u094b\u0928\u093e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong><sub>\u0905\u0935\u0936\u093f\u0937\u094d\u091f<\/sub> \u090f\u0938\u090f\u0938<\/strong> : \u0935\u0930\u094d\u0917\u094b\u0902 \u0915\u093e \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092f\u094b\u0917\u0964<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong><sub>\u0905\u0935\u0936\u093f\u0937\u094d\u091f<\/sub> \u0921\u0940\u090f\u092b<\/strong> : \u0938\u094d\u0935\u0924\u0902\u0924\u094d\u0930\u0924\u093e \u0915\u0940 \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u0921\u093f\u0917\u094d\u0930\u0940, \u090f\u0928 &#8211; \u0915\u0947 &#8211; 1 \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0917\u0923\u0928\u093e \u0915\u0940 \u091c\u093e\u0924\u0940 \u0939\u0948 \u091c\u0939\u093e\u0902 \u090f\u0928 = \u0905\u0935\u0932\u094b\u0915\u0928\u094b\u0902 \u0915\u0940 \u0915\u0941\u0932 \u0938\u0902\u0916\u094d\u092f\u093e \u0914\u0930 \u0915\u0947 = \u092e\u0949\u0921\u0932 \u092e\u093e\u092a\u0926\u0902\u0921\u094b\u0902 \u0915\u0940 \u0915\u0941\u0932 \u0938\u0902\u0916\u094d\u092f\u093e\u0964<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0906\u0930 \u092e\u0947\u0902 \u090f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0915\u0940 \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0939\u092e \u0924\u0940\u0928 \u0924\u0930\u0940\u0915\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0935\u093f\u0927\u093f 1: \u092e\u0949\u0921\u0932 \u0938\u093e\u0930\u093e\u0902\u0936 \u0915\u093e \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u092a\u094d\u0930\u093e\u092a\u094d\u0924 \u0915\u0930\u0928\u0947 \u0915\u093e \u092a\u0939\u0932\u093e \u0924\u0930\u0940\u0915\u093e \u092c\u0938 \u090f\u0915 \u0930\u0948\u0916\u093f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0915\u094b \u092b\u093f\u091f \u0915\u0930\u0928\u093e \u0939\u0948 \u0914\u0930 \u092b\u093f\u0930 \u092e\u0949\u0921\u0932 \u092a\u0930\u093f\u0923\u093e\u092e \u092a\u094d\u0930\u093e\u092a\u094d\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f <strong>\u0938\u093e\u0930\u093e\u0902\u0936()<\/strong> \u0915\u092e\u093e\u0902\u0921 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u093e \u0939\u0948\u0964 \u092b\u093f\u0930 \u0906\u0909\u091f\u092a\u0941\u091f \u0915\u0947 \u0928\u0940\u091a\u0947 &#8220;\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f&#8221; \u0926\u0947\u0916\u0947\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load built-in <em>mtcars<\/em> dataset<\/span>\ndata(mtcars)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model &lt;- lm(mpg~disp+hp, data=mtcars)\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nlm(formula = mpg ~ disp + hp, data = mtcars)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-4.7945 -2.3036 -0.8246 1.8582 6.9363 \n\nCoefficients:\n             Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 30.735904 1.331566 23.083 &lt; 2nd-16 ***\navailable -0.030346 0.007405 -4.098 0.000306 ***\nhp -0.024840 0.013385 -1.856 0.073679 .  \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: <span style=\"color: #008000;\">3.127<\/span> on 29 degrees of freedom\nMultiple R-squared: 0.7482, Adjusted R-squared: 0.7309 \nF-statistic: 43.09 on 2 and 29 DF, p-value: 2.062e-09<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0939\u092e \u0926\u0947\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f <strong>3.127<\/strong> \u0939\u0948\u0964<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0935\u093f\u0927\u093f 2: \u090f\u0915 \u0938\u0930\u0932 \u0938\u0942\u0924\u094d\u0930 \u0915\u093e \u092a\u094d\u0930\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f (\u0906\u0930\u090f\u0938\u0908) \u092a\u094d\u0930\u093e\u092a\u094d\u0924 \u0915\u0930\u0928\u0947 \u0915\u093e \u0926\u0942\u0938\u0930\u093e \u0924\u0930\u0940\u0915\u093e \u090f\u0915 \u0930\u0948\u0916\u093f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0915\u094b \u092b\u093f\u091f \u0915\u0930\u0928\u093e \u0939\u0948 \u0914\u0930 \u092b\u093f\u0930 \u0906\u0930\u090f\u0938\u0908 \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0938\u0942\u0924\u094d\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u093e \u0939\u0948:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sqrt( <span style=\"color: #3366ff;\">deviance<\/span> (model)\/df. <span style=\"color: #3366ff;\">residual<\/span> (model))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0907\u0938 \u092b\u093c\u0949\u0930\u094d\u092e\u0942\u0932\u0947 \u0915\u094b R \u092e\u0947\u0902 \u0932\u093e\u0917\u0942 \u0915\u0930\u0928\u0947 \u0915\u093e \u0924\u0930\u0940\u0915\u093e \u092f\u0939\u093e\u0902 \u092c\u0924\u093e\u092f\u093e \u0917\u092f\u093e \u0939\u0948:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load built-in <em>mtcars<\/em> dataset<\/span>\ndata(mtcars)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model &lt;- lm(mpg~disp+hp, data=mtcars)\n\n<span style=\"color: #008080;\">#calculate residual standard error\n<\/span>sqrt( <span style=\"color: #3366ff;\">deviance<\/span> (model)\/df. <span style=\"color: #3366ff;\">residual<\/span> (model))\n\n[1] 3.126601\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0939\u092e \u0926\u0947\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f <strong>3.126601<\/strong> \u0939\u0948\u0964<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0935\u093f\u0927\u093f 3: \u091a\u0930\u0923-\u0926\u0930-\u091a\u0930\u0923 \u0938\u0942\u0924\u094d\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u092a\u094d\u0930\u093e\u092a\u094d\u0924 \u0915\u0930\u0928\u0947 \u0915\u093e \u0926\u0942\u0938\u0930\u093e \u0924\u0930\u0940\u0915\u093e \u090f\u0915 \u0930\u0948\u0916\u093f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u0915\u094b \u092b\u093f\u091f \u0915\u0930\u0928\u093e \u0939\u0948 \u0914\u0930 \u092b\u093f\u0930 \u0906\u0930\u090f\u0938\u0908 \u0938\u0942\u0924\u094d\u0930 \u0915\u0947 \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0935\u094d\u092f\u0915\u094d\u0924\u093f\u0917\u0924 \u0918\u091f\u0915 \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u091a\u0930\u0923-\u0926\u0930-\u091a\u0930\u0923 \u0926\u0943\u0937\u094d\u091f\u093f\u0915\u094b\u0923 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u093e \u0939\u0948:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load built-in <em>mtcars<\/em> dataset<\/span>\ndata(mtcars)\n\n<span style=\"color: #008080;\">#fit regression model\n<\/span>model &lt;- lm(mpg~disp+hp, data=mtcars)\n\n<span style=\"color: #008080;\">#calculate the number of model parameters - 1\n<\/span>k=length(model$ <span style=\"color: #3366ff;\">coefficients<\/span> )-1\n\n<span style=\"color: #008080;\">#calculate sum of squared residuals<\/span>\nSSE=sum(model$ <span style=\"color: #3366ff;\">residuals<\/span> **2)\n\n<span style=\"color: #008080;\">#calculate total observations in dataset<\/span>\nn=length(model$ <span style=\"color: #3366ff;\">residuals<\/span> )\n\n<span style=\"color: #008080;\">#calculate residual standard error<\/span>\nsqrt(SSE\/(n-(1+k)))\n\n[1] 3.126601\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0939\u092e \u0926\u0947\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f <strong>3.126601<\/strong> \u0939\u0948\u0964<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0915\u0940 \u0935\u094d\u092f\u093e\u0916\u094d\u092f\u093e \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u091c\u0948\u0938\u093e \u0915\u093f \u092a\u0939\u0932\u0947 \u0909\u0932\u094d\u0932\u0947\u0916 \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948, \u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f (\u0906\u0930\u090f\u0938\u0908) \u090f\u0915 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u092e\u0947\u0902 \u0905\u0935\u0936\u0947\u0937\u094b\u0902 \u0915\u0947 \u092e\u093e\u0928\u0915 \u0935\u093f\u091a\u0932\u0928 \u0915\u094b \u092e\u093e\u092a\u0928\u0947 \u0915\u093e \u090f\u0915 \u0924\u0930\u0940\u0915\u093e \u0939\u0948\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0938\u0940\u090f\u0938\u0906\u0930 \u092e\u0942\u0932\u094d\u092f \u091c\u093f\u0924\u0928\u093e \u0915\u092e \u0939\u094b\u0917\u093e, \u092e\u0949\u0921\u0932 \u0909\u0924\u0928\u093e \u0939\u0940 \u092c\u0947\u0939\u0924\u0930 \u0921\u0947\u091f\u093e \u0915\u094b \u092b\u093f\u091f \u0915\u0930\u0928\u0947 \u092e\u0947\u0902 \u0938\u0915\u094d\u0937\u092e \u0939\u094b\u0917\u093e (\u0932\u0947\u0915\u093f\u0928 <a href=\"https:\/\/statorials.org\/hi\/\u092e\u0936\u0940\u0928-\u0932\u0930\u094d\u0928\u093f\u0902\u0917-\u0913\u0935\u0930\u092b\u093f\u091f\u093f\u0902\u0917\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0913\u0935\u0930\u092b\u093f\u091f\u093f\u0902\u0917<\/a> \u0938\u0947 \u0938\u093e\u0935\u0927\u093e\u0928 \u0930\u0939\u0947\u0902)\u0964 \u092f\u0939 \u0926\u094b \u092f\u093e \u0926\u094b \u0938\u0947 \u0905\u0927\u093f\u0915 \u092e\u0949\u0921\u0932\u094b\u0902 \u0915\u0940 \u0924\u0941\u0932\u0928\u093e \u0915\u0930\u0924\u0947 \u0938\u092e\u092f \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0909\u092a\u092f\u094b\u0917\u0940 \u092e\u0940\u091f\u094d\u0930\u093f\u0915 \u0939\u094b \u0938\u0915\u0924\u093e \u0939\u0948 \u0924\u093e\u0915\u093f \u092f\u0939 \u0928\u093f\u0930\u094d\u0927\u093e\u0930\u093f\u0924 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0947 \u0915\u093f \u0915\u094c\u0928 \u0938\u093e \u092e\u0949\u0921\u0932 \u0921\u0947\u091f\u093e \u0915\u0947 \u0932\u093f\u090f \u0938\u092c\u0938\u0947 \u0909\u092a\u092f\u0941\u0915\u094d\u0924 \u0939\u0948\u0964<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u0938\u0902\u0938\u093e\u0927\u0928<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/hi\/\u0905\u0935\u0936\u093f\u0937\u094d\u091f-\u092e\u093e\u0928\u0915-\u0924\u094d\u0930\u0941\u091f\u093f-\u0915\u0940-\u0935\u094d\u092f\u093e\u0916\u094d\u092f\u093e-\u0915\u0948\u0938\u0947-\u0915\u0930\u0947\u0902\/\">\u0905\u0935\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u0915\u0940 \u0935\u094d\u092f\u093e\u0916\u094d\u092f\u093e \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a><br \/> <a href=\"https:\/\/statorials.org\/hi\/\u090f\u0915\u093e\u0927\u093f\u0915-\u0930\u0948\u0916\u093f\u0915-\u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928-\u0906\u0930\/\" target=\"_blank\" rel=\"noopener noreferrer\">\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><br \/> <a href=\"https:\/\/statorials.org\/hi\/\u0906\u0930-\u092e\u0947\u0902-\u092e\u0949\u0921\u0932-\u092a\u094d\u0930\u0926\u0930\u094d\u0936\u0928-\u0915\u0947-\u0932\u093f\u090f-\u0915\u094d\u0930\u0949\u0938-\u0938\u0924\u094d\u092f\u093e\u092a\u0928-\u0915\u0948\u0938\u0947-\u0915\u0930\u0947\u0902\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0906\u0930 \u092e\u0947\u0902 \u092e\u0949\u0921\u0932 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u0928 \u0915\u0947 \u0932\u093f\u090f \u0915\u094d\u0930\u0949\u0938-\u0935\u0948\u0932\u093f\u0921\u0947\u0936\u0928 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a><br \/> <a href=\"https:\/\/statorials.org\/hi\/\u0906\u0930-\u092e\u0947\u0902-\u092e\u093e\u0928\u0915-\u0935\u093f\u091a\u0932\u0928\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0906\u0930 \u092e\u0947\u0902 \u092e\u093e\u0928\u0915 \u0935\u093f\u091a\u0932\u0928 \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u091c\u092c \u092d\u0940 \u0939\u092e R \u092e\u0947\u0902 \u090f\u0915 \u0930\u0947\u0916\u0940\u092f \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u092e\u0949\u0921\u0932 \u092b\u093f\u091f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u0924\u094b \u092e\u0949\u0921\u0932 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0930\u0942\u092a \u0932\u0947\u0924\u093e \u0939\u0948: Y = \u03b2 0 + \u03b2 1 X + \u2026 + \u03b2 i \u091c\u0939\u093e\u0902 \u03f5 X \u0938\u0947 \u0938\u094d\u0935\u0924\u0902\u0924\u094d\u0930 \u090f\u0915 \u0924\u094d\u0930\u0941\u091f\u093f \u092a\u0926 \u0939\u0948\u0964 \u0907\u0938\u0938\u0947 \u0915\u094b\u0908 \u092b\u0930\u094d\u0915 \u0928\u0939\u0940\u0902 \u092a\u0921\u093c\u0924\u093e \u0915\u093f Y \u0915\u0947 \u092e\u0942\u0932\u094d\u092f\u094b\u0902 \u0915\u0940 \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f X [&hellip;]<\/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-1061","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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\u0924\u094d\u0930\u0941\u091f\u093f \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902, \u0907\u0938\u0915\u0940 \u090f\u0915 \u0938\u0930\u0932 \u0935\u094d\u092f\u093e\u0916\u094d\u092f\u093e\u0964\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/hi\/\u0905\u0935\u0936\u093f\u0937\u094d\u091f-\u092e\u093e\u0928\u0915-\u0924\u094d\u0930\u0941\u091f\u093f-\u0906\u0930\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T19:30:41+00:00\" \/>\n<meta name=\"author\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0926\u094d\u0935\u093e\u0930\u093e \u0932\u093f\u0916\u093f\u0924\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0921\u0949. 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