document.write( "Question 581280: Budget ($) in millions - Gross($)in millions
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document.write( ".25 - 12.006
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document.write( ".325 - 47
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document.write( "3.9 - 198.571
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document.write( "6 - 181.28
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document.write( "6.4 - 36.9
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document.write( "8 - 107.93
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document.write( "10 - 138.339
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document.write( "12 260
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document.write( "15 - 103.001
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document.write( "17 - 72.219
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document.write( "18.5 - 81.843
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document.write( "20 - 242.374
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document.write( "22 - 217.631
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document.write( "25 - 96.067
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document.write( "35 - 56.876
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document.write( "39 - 197.171
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document.write( "45 - 20.1
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document.write( "50 - 147.54
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document.write( "50 - 48.265
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document.write( "55 - 68.75
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document.write( "A) BRIEFLY CHARACTERIZE THE CORRELATION COEFFICIENT
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document.write( "B) THE EQUATION OF THE REGRESSION LINE CALCULATED ON THESE VALUES IS GROSS INCOME= 123.44-.536 BUDGET. USE THE REGRESSION LINE TO PREDICT THE GROSS INCOME FOR A MOVIE WITH BUDGET 30 MILLION DOLLARS
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document.write( "C) EXPLAIN WHETHER OR NOT YOU THINK THIS IS A REASONABLE PREDICTION. please help me! \n" );
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Algebra.Com's Answer #371553 by KMST(5328)![]() ![]() You can put this solution on YOUR website! A) Your correlation coefficient is so small that there is no correlation (I got \n" ); document.write( "B) The equation predicts that a lower budget movie will produce greater gross income. I got a slightly different regression line, but with x=30 (for a $30,000,000 budget), the equation you have gives you \n" ); document.write( "y(30)=123.44-0.536(30)=107.36, predicting a gross income of $107,360,000. \n" ); document.write( "C) Because the correlation coefficient is so small, and the slope is so flat, the regression line has no predictive ability. I don't think anyone would use a trendline with a correlation coefficient of less tan 0.5 to predict anything, and a flat slope says y does not depend on x, anyway. \n" ); document.write( " |