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Simple linear regression results:


Dependent Variable: Height of Sibling
Independent Variable: Height
Height of Sibling = 32.299881 + 0.57412693 Height
Sample size: 40
R (correlation coefficient) = 0.73196606
R-sq = 0.53577432
Estimate of error standard deviation: 1.9028821

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept32.2998815.5197861 ≠ 0385.8516544<0.0001
Slope0.574126930.086694142 ≠ 0386.622442<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1158.80351158.8035143.856738<0.0001
Error38137.596493.6209603
Total39296.4
height/ sibling Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Father
Independent Variable: Height
Height of Father = 29.32811 + 0.60671475 Height
Sample size: 40
R (correlation coefficient) = 0.74029093
R-sq = 0.54803066
Estimate of error standard deviation: 1.9618552

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept29.328115.6908523 ≠ 0385.1535531<0.0001
Slope0.606714750.089380919 ≠ 0386.7879673<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1177.34272177.3427246.0765<0.0001
Error38146.257283.8488757
Total39323.6
height/ father Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Mother
Independent Variable: Height
Height of Mother = 37.385086 + 0.39307768 Height
Sample size: 40
R (correlation coefficient) = 0.48127629
R-sq = 0.23162687
Estimate of error standard deviation: 2.549179

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept37.3850867.3945321 ≠ 0385.0557744<0.0001
Slope0.393077680.11613903 ≠ 0383.38454420.0017

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model174.43908674.43908611.4551390.0017
Error38246.935916.4983135
Total39321.375
height/ motherSimple Linear Regression
morenomiApr 17, 20193KB0
Scatter Plotmrsamazing112Apr 17, 2019174B1

Simple linear regression results:


Dependent Variable: Height of Sibling
Independent Variable: Height of Father
Height of Sibling = 31.336793 + 0.55214262 Height of Father
Sample size: 39
R (correlation coefficient) = 0.56274571
R-sq = 0.31668274
Estimate of error standard deviation: 2.3338058

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept31.3367939.0472599 ≠ 0373.46367770.0014
Slope0.552142620.13333661 ≠ 0374.14096790.0002

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model193.39704793.39704717.1476150.0002
Error37201.526035.4466494
Total38294.92308
Sibling/Father Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Sibling
Independent Variable: Height of Mother
Height of Sibling = 56.722467 + 0.19334312 Height of Mother
Sample size: 39
R (correlation coefficient) = 0.19959601
R-sq = 0.039838567
Estimate of error standard deviation: 2.766468

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept56.7224679.7328519 ≠ 0375.827939<0.0001
Slope0.193343120.15604438 ≠ 0371.23902650.2231

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model111.74931311.7493131.53518660.2231
Error37283.173767.653345
Total38294.92308
Mother/Sibling Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Father
Independent Variable: Height of Mother
Height of Father = 46.888399 + 0.33553598 Height of Mother
Sample size: 39
R (correlation coefficient) = 0.33986097
R-sq = 0.11550548
Estimate of error standard deviation: 2.7062132

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept46.8883999.5208667 ≠ 0374.9248037<0.0001
Slope0.335535980.15264568 ≠ 0372.19813610.0343

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model135.3861435.386144.83180240.0343
Error37270.972837.3235901
Total38306.35897
Mother/ Father Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Sibling
Independent Variable: Height
Height of Sibling = 31.498001 + 0.58730423 Height
Sample size: 39
R (correlation coefficient) = 0.73482694
R-sq = 0.53997064
Estimate of error standard deviation: 1.9149009

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept31.4980015.6639307 ≠ 0375.5611558<0.0001
Slope0.587304230.089118932 ≠ 0376.5901175<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1159.2498159.249843.429648<0.0001
Error37135.673283.6668453
Total38294.92308
Height/ Sibling Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Father
Independent Variable: Height
Height of Father = 30.17472 + 0.5928024 Height
Sample size: 39
R (correlation coefficient) = 0.72773116
R-sq = 0.52959264
Estimate of error standard deviation: 1.9735653

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept30.174725.8374494 ≠ 0375.1691616<0.0001
Slope0.59280240.091849158 ≠ 0376.4540864<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1162.24546162.2454641.655231<0.0001
Error37144.113523.8949599
Total38306.35897
Height/ Father Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Mother
Independent Variable: Height
Height of Mother = 37.914862 + 0.38437188 Height
Sample size: 39
R (correlation coefficient) = 0.46585463
R-sq = 0.21702054
Estimate of error standard deviation: 2.5790029

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept37.9148627.6282245 ≠ 0374.970339<0.0001
Slope0.384371880.12002605 ≠ 0373.20240380.0028

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model168.21122468.21122410.255390.0028
Error37246.096476.6512559
Total38314.30769
Height/Height of Mother Simple Linear Regression
morenomiApr 17, 20193KB0
Boxplotmrsamazing112Apr 17, 2019174B0

Two sample T hypothesis test:


μ1 : Mean of #times dyed hair
μ2 : Mean of # times dyed hair
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 < 0
(with pooled variances)

Hypothesis test results:
DifferenceSample Diff.Std. Err.DFT-StatP-value
μ1 - μ2-2.4077751.803891868-1.33476680.0932
#11 Two sample T hypothesis test
figueroa-bonillamApr 17, 20191KB0

Summary statistics:


ColumnnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
Hours sleep1926.3751.04712041.0232890.073849524654967
Summary Stats
mrsamazing112Apr 17, 20191KB0
Boxplotmrsamazing112Apr 17, 2019174B0
Bar Plot With Datamrsamazing112Apr 17, 2019174B0

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