document.write( "Question 657288: Construct a scatterplot for the (x,Y) values below, and answer the following questions. However, you DO NOT need to submit your scatterplot with your answer; however, SHOW all YOUR WORK.
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document.write( "X.....Y
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document.write( "1 ... 1.25
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document.write( "2 ... 2.5
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document.write( "3 ... 3.75
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document.write( "4 ... 5.0
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document.write( "5 ... 6.25\r
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document.write( "a) What would be the SLOPE of this regression line?
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document.write( "b) Would the correlation between x and y be positive or negative?
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document.write( "c) How would you interpret these data in terms of linear regression? \n" );
document.write( "
Algebra.Com's Answer #409804 by stanbon(75887)![]() ![]() ![]() You can put this solution on YOUR website! X.....Y \n" ); document.write( "1 ... 1.25 \n" ); document.write( "2 ... 2.5 \n" ); document.write( "3 ... 3.75 \n" ); document.write( "4 ... 5.0 \n" ); document.write( "5 ... 6.25 \n" ); document.write( "a) What would be the SLOPE of this regression line? \n" ); document.write( "The slope is the change in y when x changes by 1. \n" ); document.write( "Notice that the y-change is 1.25 when x changes by 1. \n" ); document.write( "slope = 1.25 \n" ); document.write( "---------------------- \n" ); document.write( "b) Would the correlation between x and y be positive or negative? \n" ); document.write( "Since y increases when x increases the correlation is positive. \n" ); document.write( "------------------------------ \n" ); document.write( "c) How would you interpret these data in terms of linear regression? \n" ); document.write( "y = 1.25x \n" ); document.write( "================= \n" ); document.write( "Cheers, \n" ); document.write( "Stan H. \n" ); document.write( "=============== \n" ); document.write( " \n" ); document.write( " |