document.write( "<A HREF=/cgi-bin/jump-to-question.mpl?question=138733>Question 138733</A>: <I><SPAN STYLE=\"word-break: break-all;\"> \r<BR>\n" );
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document.write( "</I><HR><TABLE width=100%><TR><TD><B><A HREF=http://www.algebra.com/>Algebra.Com's</A> Answer #101240 by </B><A HREF=/tutors/aboutme.mpl?userid=busch48><B>busch48(1)</B></A><img src=\"/images/stars/iconNewId_16x16.gif\" alt=\"\" >&nbsp;<A HREF=/tutors/aboutme.mpl?userid=busch48><IMG SRC=http://www.algebra.com/images/aboutme-small.gif BORDER=0 alt=\"About Me\" VALIGN=MIDDLE></A>&nbsp;<IMG SRC=http://www.algebra.com/images/nopicture.jpg><BR>You can <A HREF=\"/cgi-bin/embed-solution.mpl?show=1&solution=101240\">put this solution on YOUR website!</A><BR><SPAN STYLE=\"word-break: break-all;\"> (a) In correlation analysis, we calculate the correlation coefficient which is a measure of the degree of covariablity between X and Y\r<BR>\n" );
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document.write( "(a) Regression analysis is done to study the nature of relationship between X and Y so that we may be able to predict the value of one on the basis of the other\r<BR>\n" );
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document.write( "(b) The correlation coefficient measures and reveals the degree of covariablity between X and Y. It indicates the strength of relationship between X and Y.\r<BR>\n" );
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document.write( "(c) A correlation coefficient of ± 1 Þ a perfect positive/negative correlation between X and Y. A zero coefficient Þ no correlation. Higher the value of r, stronger is the correlation between X and Y.\r<BR>\n" );
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document.write( "(d) The sums needed are: å xy, å x^2 and å y^2, where x = (X – Xbar) and y = (Y – Ybar)\r<BR>\n" );
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document.write( "(e) The two methods are: (a) t- test and (b) Z- test.\r<BR>\n" );
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document.write( "Hope this helps </SPAN>\n" );
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