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Simple linear regression results:


Dependent Variable: retail sales
Independent Variable: year
retail sales = 84.182143 + 9.4396476 year
Sample size: 6
R (correlation coefficient) = 0.99800832
R-sq = 0.9960206
Estimate of error standard deviation: 3.7440432

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept84.1821432.7097395 ≠ 0431.066507<0.0001
Slope9.43964760.2983325 ≠ 0431.641365<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model114034.34414034.3441001.176<0.0001
Error456.07143814.017859
Total514090.416

Predicted values:


X valuePred. Ys.e.(Pred. y)95% C.I. for mean95% P.I. for new
11188.018271.8511045(182.87878, 193.15776)(176.42201, 199.61452)

Simple Linear Regression
iruss17Apr 18, 20194KB1
Simple Linear Regressionbarbaradf14Apr 17, 2019174B1

Simple linear regression results:


Dependent Variable: Waist (cm)
Independent Variable: Weight (kg)
Waist (cm) = 27.505263 + 0.79909294 Weight (kg)
Sample size: 40
R (correlation coefficient) = 0.93310583
R-sq = 0.87068649
Estimate of error standard deviation: 5.7804302

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept27.5052634.2447479 ≠ 0386.4798343<0.0001
Slope0.799092940.049957023 ≠ 03815.995608<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model18549.12788549.1278255.85947<0.0001
Error381269.708233.413373
Total399818.836
Simple Linear Regression Weight/waist
walkershandelihaApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Weight (lbs)
Independent Variable: Height (in)
Weight (lbs) = -186.47059 + 4.7058824 Height (in)
Sample size: 8
R (correlation coefficient) = 0.79792117
R-sq = 0.6366782
Estimate of error standard deviation: 10.145993

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-186.4705994.582651 ≠ 06-1.97150940.0961
Slope4.70588241.4512799 ≠ 063.24257390.0176

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model11082.35291082.352910.5142860.0176
Error6617.64706102.94118
Total71700
Simple Linear Regression Height/weight
walkershandelihaApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Test Grade (%)
Independent Variable: Hours Studied
Test Grade (%) = 34.616927 + 7.3496659 Hours Studied
Sample size: 13
R (correlation coefficient) = 0.92264987
R-sq = 0.85128278
Estimate of error standard deviation: 7.698063

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept34.6169274.7783872 ≠ 0117.2444791<0.0001
Slope7.34966590.92622174 ≠ 0117.9351041<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model13731.36893731.368962.965877<0.0001
Error11651.8619259.260174
Total124383.2308
Simple Linear Regression Hours Studied/Test Grade
walkershandelihaApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Points
Independent Variable: Fouls
Points = -1.184183 + 2.8507104 Fouls
Sample size: 11
R (correlation coefficient) = 0.93536075
R-sq = 0.87489973
Estimate of error standard deviation: 10.599536

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-1.1841834.7360451 ≠ 09-0.250036260.8082
Slope2.85071040.35932036 ≠ 097.9336177<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model17071.57597071.575962.94229<0.0001
Error91011.1514112.35015
Total108082.7273
Simple Linear Regression Fouls/Points
walkershandelihaApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: y=wieght in lbs
Independent Variable: x=age in years
y=wieght in lbs = 128.28356 + 1.2121807 x=age in years
Sample size: 15
R (correlation coefficient) = 0.11660786
R-sq = 0.013597393
Estimate of error standard deviation: 40.858637

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept128.2835662.744537 ≠ 0132.04453760.0617
Slope1.21218072.8634855 ≠ 0130.423323510.679

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1299.16621299.166210.17920280.679
Error1321702.5671669.4282
Total1422001.733
Age + Weight Simple Linear Regression
rodriguezyoApr 17, 20193KB1

Simple linear regression results:


Dependent Variable: y=# of hours slept last night
Independent Variable: x=# of minutes spent commuting this morning
y=# of hours slept last night = 6.9204797 - 0.0098306655 x=# of minutes spent commuting this morning
Sample size: 15
R (correlation coefficient) = -0.25445392
R-sq = 0.064746797
Estimate of error standard deviation: 0.91352812

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept6.92047970.41201623 ≠ 01316.796619<0.0001
Slope-0.00983066550.010362551 ≠ 013-0.94867230.3601

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model10.751062840.751062840.899979130.3601
Error1310.8489370.83453363
Total1411.6
Minutes Commuting+Hours Slept Simple Linear Regression
rodriguezyoApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: HS GPA
Independent Variable: GPA
HS GPA = 0.72583893 + 0.82684725 GPA
Sample size: 228
R (correlation coefficient) = 0.71554736
R-sq = 0.51200803
Estimate of error standard deviation: 0.43262271

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept0.725838930.16992696 ≠ 02264.2714761<0.0001
Slope0.826847250.053695639 ≠ 022615.398778<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model144.38039544.380395237.12237<0.0001
Error22642.2987050.18716241
Total22786.6791
Simple Linear Regression
klhawkins49Apr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Shoe Size
Independent Variable: Weight
Shoe Size = 2.8617346 + 0.026694171 Weight
Sample size: 40
R (correlation coefficient) = 0.41367952
R-sq = 0.17113075
Estimate of error standard deviation: 0.94307927

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept2.86173461.6004171 ≠ 0381.7881180.0817
Slope0.0266941710.0095302354 ≠ 0382.80099810.008

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model16.97785636.97785637.84559020.008
Error3833.7971440.88939852
Total3940.775
Shoe Size & Weight Simple Linear Regression
alison315Apr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Weight
Independent Variable: Age
Weight = 126.62349 + 2.1024096 Age
Sample size: 40
R (correlation coefficient) = 0.17312381
R-sq = 0.029971854
Estimate of error standard deviation: 15.810476

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept126.6234937.53045 ≠ 0383.37388690.0017
Slope2.10240961.9402643 ≠ 0381.08356870.2854

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1293.49639293.496391.1741210.2854
Error389498.9036249.97115
Total399792.4
Weight & Age Simple Linear Regression
alison315Apr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Shoe Size
Independent Variable: Age
Shoe Size = 3.0813253 + 0.21987952 Age
Sample size: 40
R (correlation coefficient) = 0.28058977
R-sq = 0.078730618
Estimate of error standard deviation: 0.99425665

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept3.08132532.3601377 ≠ 0381.30557010.1995
Slope0.219879520.12201535 ≠ 0381.80206440.0795

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model13.2102413.2102413.24743620.0795
Error3837.5647590.98854629
Total3940.775
Shoe Size & AgeSimple Linear Regression
alison315Apr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Weight
Independent Variable: Age
Weight = 126.62349 + 2.1024096 Age
Sample size: 40
R (correlation coefficient) = 0.17312381
R-sq = 0.029971854
Estimate of error standard deviation: 15.810476

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept126.6234937.53045 ≠ 0383.37388690.0017
Slope2.10240961.9402643 ≠ 0381.08356870.2854

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1293.49639293.496391.1741210.2854
Error389498.9036249.97115
Total399792.4
Weight & Age Simple Linear Regression
alison315Apr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Sibling
Independent Variable: Height of Father
Height of Sibling = 32.248146 + 0.53831891 Height of Father
Sample size: 40
R (correlation coefficient) = 0.56247703
R-sq = 0.31638041
Estimate of error standard deviation: 2.3091628

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept32.2481468.7237009 ≠ 0383.6966130.0007
Slope0.538318910.12836608 ≠ 0384.19362260.0002

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model193.77515593.77515517.5864710.0002
Error38202.624855.3322328
Total39296.4
father/sibling Simple Linear Regression
morenomiApr 17, 20193KB0

Simple linear regression results:


Dependent Variable: Height of Sibling
Independent Variable: Height of Mother
Height of Sibling = 56.378374 + 0.1991443 Height of Mother
Sample size: 40
R (correlation coefficient) = 0.2073647
R-sq = 0.043000119
Estimate of error standard deviation: 2.7321418

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept56.3783749.5160281 ≠ 0385.92457<0.0001
Slope0.19914430.15240429 ≠ 0381.30668430.1992

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model112.74523512.7452351.7074240.1992
Error38283.654767.4645991
Total39296.4
mother/sibling Simple Linear Regression
morenomiApr 17, 20193KB0

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