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Showing 1 to 15 of 4523 results matching Simple Linear Regression
Name/Notes Owner Created Size Views
Simple Linear Regression CHINAbrian627Dec 7, 2019174B3

Simple linear regression results:


Dependent Variable: USA
Independent Variable: year
USA = 41.684729 - 0.011348658 year
Sample size: 55
R (correlation coefficient) = -0.10933484
R-sq = 0.011954108
Estimate of error standard deviation: 1.668469

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept41.68472928.161012 ≠ 0531.48022830.1447
Slope-0.0113486580.014172176 ≠ 053-0.80077030.4268

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model11.78505751.78505750.641233080.4268
Error53147.540812.7837889
Total54149.32587
Simple Linear Regression USA
brian627Dec 7, 20193KB2
Simple Linear Regression USAbrian627Dec 7, 2019174B2
Simple Linear Regressionhodges.tianaDec 6, 2019174B10

Simple linear regression results:


Dependent Variable: internet hrs/day
Independent Variable: age
internet hrs/day = 7.196151 - 0.07366924 age
Sample size: 173
R (correlation coefficient) = -0.2374504
R-sq = 0.056382692
Estimate of error standard deviation: 3.7592122

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept7.1961510.73745405 ≠ 01719.7581009<0.0001
Slope-0.073669240.023046935 ≠ 0171-3.19648750.0017

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1144.39086144.3908610.2175320.0017
Error1712416.516714.131676
Total1722560.9075
Simple Linear Regression
Linear Regression of Lab 3
hodges.tianaDec 6, 20193KB7
Simple Linear Regressioncc2464aDec 6, 2019174B5
China Simple Linear Regressionsjjohnson803Dec 5, 2019174B5
China Simple Linear Regressionsjjohnson803Dec 5, 2019174B2
U.S. Simple Linear Regressionsjjohnson803Dec 5, 2019174B3
U.S Simple Linear Regressionsjjohnson803Dec 5, 2019174B2

Simple linear regression results:


Dependent Variable: China
Independent Variable: var3
China = -217.39721 + 0.11070783 var3
Sample size: 55
R (correlation coefficient) = 0.89288166
R-sq = 0.79723766
Estimate of error standard deviation: 0.90286283

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-217.3972115.238839 ≠ 053-14.265995<0.0001
Slope0.110707830.0076690251 ≠ 05314.435711<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1169.87126169.87126208.38976<0.0001
Error5343.2035490.8151613
Total54213.07481
China Simple Linear Regression
sjjohnson803Dec 5, 20193KB3
Simple Linear Regressiongyr275Dec 5, 2019174B3

Simple linear regression results:


Dependent Variable: MMNT
Independent Variable: MMXT
MMNT = -96.064028 + 0.95679436 MMXT
Sample size: 102
R (correlation coefficient) = 0.98555711
R-sq = 0.97132282
Estimate of error standard deviation: 15.635718

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-96.0640282.6196253 ≠ 0100-36.670904<0.0001
Slope0.956794360.016440123 ≠ 010058.198736<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1828061.81828061.813387.0929<0.0001
Error10024447.567244.47567
Total101852509.37
Simple Linear Regression
67b1b339-11d2-4de0-900f-fcec5b7cfa3d-237212_d2l_snhumlpDec 5, 20193KB2

Simple linear regression results:


Dependent Variable: Sq.Ft
Independent Variable: Sale Price Residental Homes
Sq.Ft = 1374.3692 + 0.0011665306 Sale Price Residental Homes
Sample size: 55
R (correlation coefficient) = 0.73511201
R-sq = 0.54038966
Estimate of error standard deviation: 463.95368

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept1374.369277.285528 ≠ 05317.783009<0.0001
Slope0.00116653060.00014777452 ≠ 0537.8939897<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1134135071341350762.315074<0.0001
Error5311408410215253.01
Total5424821917
Simple Linear Regression results
leahmz8Dec 5, 20193KB0
Simple Linear Regressiongyr275Dec 5, 2019174B6

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