document.write( "Question 1206835: The following sample observations were randomly selected:\r
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document.write( "x:\r
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document.write( " 11\r
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document.write( " 2\r
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document.write( "11\r
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document.write( " 5\r
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document.write( " 9\r
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document.write( " 11\r
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document.write( "20\r
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document.write( "1\r
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document.write( "y:\r
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document.write( "8\r
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document.write( "1\r
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document.write( "2\r
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document.write( "3\r
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document.write( "7\r
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document.write( "16\r
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document.write( "4\r
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document.write( "20\r
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document.write( "a. Determine the coefficient of correlation. (Negative answer should be indicated by a minus sign. Round the final answer to 2 decimal places.)\r
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document.write( "Coefficient of correlation \r
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document.write( "b. Determine the coefficient of determination. (Round the intermediate calculations to 2 decimal places and final answer to 4 decimal places.)\r
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document.write( "Coefficient of determination \r
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Algebra.Com's Answer #844532 by Theo(13342)![]() ![]() You can put this solution on YOUR website! i used the regression calculator at https://www.statskingdom.com/linear-regression-calculator.html to solve this.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "there are lots of them on the web. \n" ); document.write( "just pick the one that you understand the most, after doing some research.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "hear are the results from using his calculator.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " ![]() \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " ![]() \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "information you want to pay attention to is:\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "formula is y = -.2591 * x + 9.892.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "-.2591 is the slope of the regression line. \n" ); document.write( "9.892 is the y-intercapt (value of y when value of x is 0).\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "r = -.2293 which is a very small correlation in a downward direction, meaning as value of x goes up, value of y goes down.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "r^2 = .05257. meaning only about 5% of the y-values are directly as a consequence of the x-values, meaning that the correlation is very weak.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "p-value of .5849 is much higher than a critical p-value of .05 meaning that there is not sufficient evidence that the correlation is different than the assumed status quo. \n" ); document.write( "this means that, if there was an assumed correlation different from this, this data would not be strong enough to say it should be this correlation instead.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "here's a reference that includes how to interpret p-value in a regression analysis.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "https://statisticsbyjim.com/regression/interpret-coefficients-p-values-regression/ \n" ); document.write( " |