document.write( "Question 823822: A school administrator wanted to determine the relationship between hours studied by students to the test scores. The following data was gathered. Based on the data, predict the test score if a student studied 4.5 hours.
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document.write( "Hours Studied Test Score
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document.write( "5.2 220
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document.write( "5.5 227
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document.write( "6 259
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document.write( "5.9 210
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document.write( "5.8 224
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document.write( "6 215
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document.write( "5.8 231
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document.write( "5.6 268
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document.write( "5.6 239
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document.write( "5.9 212
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document.write( "5.4 410
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document.write( "5.6 256
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document.write( "5.8 306
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document.write( "5.5 259
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document.write( "5.3 284
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document.write( "5.3 383
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document.write( "5.7 271
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document.write( "5.5 264
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document.write( "5.7 227
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document.write( "5.3 263
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document.write( "5.9 232
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document.write( "5.8 220
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document.write( "5.8 246
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document.write( "5.9 241
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document.write( "Coefficient (b1) -98.94437421 816.8185841 Intercept Coefficient(b0)
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document.write( "Standard Error 38.74829673 219.4387808 Intercept Standard Error
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document.write( "R Square 0.228623432 44.49028967 Standard Error
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document.write( "F 6.520441133 22 Residual df
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document.write( "Regression MS 12906.46908 43546.48925 Residual MS \r
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document.write( "
Algebra.Com's Answer #495841 by TimothyLamb(4379)![]() ![]() You can put this solution on YOUR website! --- \n" ); document.write( "perform a linear regression over the sample data: \n" ); document.write( "--- \n" ); document.write( "5.2 220 \n" ); document.write( "5.5 227 \n" ); document.write( "6.0 259 \n" ); document.write( "5.9 210 \n" ); document.write( "5.8 224 \n" ); document.write( "6.0 215 \n" ); document.write( "5.8 231 \n" ); document.write( "5.6 268 \n" ); document.write( "5.6 239 \n" ); document.write( "5.9 212 \n" ); document.write( "5.4 410 \n" ); document.write( "5.6 256 \n" ); document.write( "5.8 306 \n" ); document.write( "5.5 259 \n" ); document.write( "5.3 284 \n" ); document.write( "5.3 383 \n" ); document.write( "5.7 271 \n" ); document.write( "5.5 264 \n" ); document.write( "5.7 227 \n" ); document.write( "5.3 263 \n" ); document.write( "5.9 232 \n" ); document.write( "5.8 220 \n" ); document.write( "5.8 246 \n" ); document.write( "5.9 241 \n" ); document.write( "--- \n" ); document.write( "copy and paste the above sample data in to this linear regression solver: \n" ); document.write( "https://sooeet.com/math/linear-regression.php \n" ); document.write( "--- \n" ); document.write( "alpha (y-intercept) = 816.818584 \n" ); document.write( "beta (slope) = -98.9443742 \n" ); document.write( "--- \n" ); document.write( "slope-intercept form of the regression line: \n" ); document.write( "y(x) = (-98.9443742)x + 816.818584 \n" ); document.write( "--- \n" ); document.write( "answer: \n" ); document.write( "y(4.5) = (-98.9443742)(4.5) + 816.818584 \n" ); document.write( "y(4.5) = 371.5689 \n" ); document.write( "--- \n" ); document.write( "Solve and graph linear equations: \n" ); document.write( "https://sooeet.com/math/linear-equation-solver.php \n" ); document.write( "--- \n" ); document.write( "Solve quadratic equations, quadratic formula: \n" ); document.write( "https://sooeet.com/math/quadratic-formula-solver.php \n" ); document.write( "--- \n" ); document.write( "Solve systems of linear equations up to 6-equations 6-variables: \n" ); document.write( "https://sooeet.com/math/system-of-linear-equations-solver.php \n" ); document.write( " |