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Simple linear regression results:


Dependent Variable: var2
Independent Variable: var1
var2 = -47219.815 + 2.6864915 var1
Sample size: 8
R (correlation coefficient) = 0.66212012
R-sq = 0.43840306
Estimate of error standard deviation: 38430.556

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-47219.81572856.076 ≠ 06-0.64812460.5409
Slope2.68649151.2413248 ≠ 062.16421320.0736

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model16.9175678e96.9175678e94.68381890.0736
Error68.8614458e91.4769076e9
Total71.5779014e10
Simple Linear Regression
sharonhoward68Aug 18, 20193KB3

Simple linear regression results:


Dependent Variable: Y
Independent Variable: X
Y = 9.8618912 + 0.0042429733 X
Sample size: 5
R (correlation coefficient) = 0.0080877998
R-sq = 0.000065412505
Estimate of error standard deviation: 8.9439794

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept9.861891210.639141 ≠ 030.926944330.4223
Slope0.00424297330.30287615 ≠ 030.0140089380.9897

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model10.0156990010.0156990010.000196250350.9897
Error3239.984379.994767
Total4240
Simple Linear Regression
dc5aaa19-f05a-466e-814b-1f19576f8cab-151703_d2l_snhumlpAug 15, 20193KB5
Simple Linear Regression78fbef91-98d8-458c-b274-f4f3a2560389-57567_d2l_snhumlpAug 12, 2019174B11

Simple linear regression results:


Dependent Variable: MMNT
Independent Variable: MMXT
MMNT = -88.939267 + 0.92961591 MMXT
Sample size: 60
R (correlation coefficient) = 0.9861195
R-sq = 0.97243166
Estimate of error standard deviation: 15.937247

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-88.9392673.3708731 ≠ 058-26.384638<0.0001
Slope0.929615910.020552531 ≠ 05845.231212<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1519640.57519640.572045.8626<0.0001
Error5814731.759253.99584
Total59534372.33
Simple Linear Regression
78fbef91-98d8-458c-b274-f4f3a2560389-57567_d2l_snhumlpAug 12, 20193KB8
Simple Linear Regression78fbef91-98d8-458c-b274-f4f3a2560389-57567_d2l_snhumlpAug 12, 2019174B10

Simple linear regression results for AGE=80 to 100:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -3.466204 + 0.3048676 NUMPROM
Sample size: 552
R (correlation coefficient) = 0.73526492
R-sq = 0.5406145
Estimate of error standard deviation: 6.7743013

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-3.4662040.78306427 ≠ 0550-4.4264616<0.0001
Slope0.30486760.011983253 ≠ 055025.441139<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model129703.12229703.122647.25154<0.0001
Error55025240.13745.891158
Total55154943.259
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB12

Simple linear regression results for AGE=60 to 80:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -4.7586432 + 0.32165777 NUMPROM
Sample size: 1540
R (correlation coefficient) = 0.77065799
R-sq = 0.59391374
Estimate of error standard deviation: 6.0317019

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-4.75864320.39338476 ≠ 01538-12.096664<0.0001
Slope0.321657770.0067820868 ≠ 0153847.427552<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model181835.3981835.392249.3727<0.0001
Error153855954.63636.381428
Total1539137790.03
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB9

Simple linear regression results for AGE=40 to 60:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -5.1972889 + 0.31712383 NUMPROM
Sample size: 1268
R (correlation coefficient) = 0.79947895
R-sq = 0.63916659
Estimate of error standard deviation: 5.0448217

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-5.19728890.35185097 ≠ 01266-14.771279<0.0001
Slope0.317123830.0066966618 ≠ 0126647.355509<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model157073.25957073.2592242.5442<0.0001
Error126632219.98725.450226
Total126789293.245
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB11

Simple linear regression results for AGE=20 to 40:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -3.524221 + 0.28374452 NUMPROM
Sample size: 288
R (correlation coefficient) = 0.78413211
R-sq = 0.61486317
Estimate of error standard deviation: 4.44706

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-3.5242210.61133079 ≠ 0286-5.7648348<0.0001
Slope0.283744520.01327892 ≠ 028621.368042<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model19029.74389029.7438456.59322<0.0001
Error2865656.033919.776342
Total28714685.778
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB11
Simple Linear Regressionwatsons14Aug 2, 2019174B7
Simple Linear Regression 21-C-2scothermanJul 30, 2019174B12

Simple linear regression results:


Dependent Variable: Mortality
Independent Variable: Education
Mortality = 1493.2582 - 49.920187 Education
Sample size: 58
R (correlation coefficient) = -0.64044071
R-sq = 0.4101643
Estimate of error standard deviation: 47.922776

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept1493.258288.481801 ≠ 05616.876445<0.0001
Slope-49.9201877.9996097 ≠ 056-6.2403279<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model189433.19689433.19638.941693<0.0001
Error56128609.182296.5924
Total57218042.37
Simple Linear Regression 21-C-1
scothermanJul 30, 20193KB10
Simple Linear Regression -Lab 3 Problem 4.2.29srlank34Jul 30, 2019174B6
Simple Linear Regression-Lab 3 Problem 4.2.29srlank34Jul 30, 2019174B8
Simple Linear Regression 2atrump01Jul 28, 2019174B13

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