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ElaKiri Talk!
Multiple Regression Equation,Coefficient of correlation,Correltion analysis questions
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<blockquote data-quote="jolySira" data-source="post: 17933871" data-attributes="member: 465106"><p><span style="font-size: 15px"><span style="color: RoyalBlue">Q1)</span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">Y = 0.79116X1+0.60484X2-.02686</span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">As FCS and LTI increase, the long term durability also increases.</span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">adjusted R^2 = 1- ((0.77435/12)/(13.38473/14)) ( සුලු කරන්න කම්මලී බං)</span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">Higher R^2 value means the model is a better fit</span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">හරියට මතක නෑ බං, පොඩ්ඩක් බලන්න ආපහු... Regression අරහං මට. Bayesian/Time Series (stochastic) ඒවානම් ඕන තරම් අහපං <img src="/styles/default/xenforo/smilies/default/D.gif" class="smilie" loading="lazy" alt=":D" title="Big grin :D" data-shortname=":D" /></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">Q2)</span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">මෙන්න මේකට ගිහින් variables වල values දෙන්න වෙන වෙනම </span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"><a href="http://www.socscistatistics.com/tests/pearson/Default2.aspx" target="_blank">Correlation Coefficient Calculator</a></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">interpret කරන්න දන්නවනේ..</span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue"></span></span></p><p><span style="font-size: 15px"><span style="color: RoyalBlue">ඔක්කොම කරන්න බෑ බං. වෙලා නෑ...</span></span></p></blockquote><p></p>
[QUOTE="jolySira, post: 17933871, member: 465106"] [SIZE="4"][COLOR="RoyalBlue"]Q1) Y = 0.79116X1+0.60484X2-.02686 As FCS and LTI increase, the long term durability also increases. adjusted R^2 = 1- ((0.77435/12)/(13.38473/14)) ( සුලු කරන්න කම්මලී බං) Higher R^2 value means the model is a better fit හරියට මතක නෑ බං, පොඩ්ඩක් බලන්න ආපහු... Regression අරහං මට. Bayesian/Time Series (stochastic) ඒවානම් ඕන තරම් අහපං :D Q2) මෙන්න මේකට ගිහින් variables වල values දෙන්න වෙන වෙනම [URL="http://www.socscistatistics.com/tests/pearson/Default2.aspx"]Correlation Coefficient Calculator[/URL] interpret කරන්න දන්නවනේ.. ඔක්කොම කරන්න බෑ බං. වෙලා නෑ...[/COLOR][/SIZE] [/QUOTE]
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