document.write( "Question 139332: Need help with problem.....
\n" ); document.write( "The x and the y variable in the table below are correlated. Determine the ‘R’ value, and then determine the regression equation. Also calculate the Sum of Squares Error (SSE). \r
\n" ); document.write( "\n" ); document.write( "X
\n" ); document.write( "16.66
\n" ); document.write( "20.70
\n" ); document.write( "24.33
\n" ); document.write( "21.27
\n" ); document.write( "20.01
\n" ); document.write( "27.44
\n" ); document.write( "16.84
\n" ); document.write( "22.27
\n" ); document.write( "14.20
\n" ); document.write( "17.74\r
\n" ); document.write( "\n" ); document.write( "Y
\n" ); document.write( "28.34
\n" ); document.write( "37.38
\n" ); document.write( "45.52
\n" ); document.write( "39.70
\n" ); document.write( "39.72
\n" ); document.write( "55.54
\n" ); document.write( "30.40
\n" ); document.write( "38.26
\n" ); document.write( "25.68
\n" ); document.write( "33.51
\n" ); document.write( " \n" ); document.write( "
Algebra.Com's Answer #101583 by stanbon(75887)\"\" \"About 
You can put this solution on YOUR website!
I ran a Linear Regression test on the data and got R^2 = 0.9506...
\n" ); document.write( "I ran an ANOVA test and got SSE = 831.01429
\n" ); document.write( "Thank the Lord for calculators.
\n" ); document.write( "----------
\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H. \n" ); document.write( "
\n" );