StatCrunch logo (home)

Results shared by StatCrunch members
Showing 1 to 15 of 3860 results matching Simple Linear Regression
Name/Notes Owner Created Size Views
Simple linear regression results:
Dependent Variable: height
Independent Variable: arm length
height = 24.026557 + 1.2970743 arm length
Sample size: 30
R (correlation coefficient) = 0.99051442
R-sq = 0.98111883
Estimate of error standard deviation: 0.50684945

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept24.0265570.89458983 ≠ 02826.857623<0.0001
Slope1.29707430.034004746 ≠ 02838.143919<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1373.77357373.773571454.9586<0.0001
Error287.19309830.25689637
Total29380.96667
Simple Linear Regression stat01 lleshi
52735124_ecollege_huntmlpJun 14, 20183KB3
Simple linear regression results:
Dependent Variable: "Selling Price"
Independent Variable: "Square Footage"
"Selling Price" = 14.874048 + 0.15631188 "Square Footage"
Sample size: 12
R (correlation coefficient) = 0.90256596
R-sq = 0.81462531
Estimate of error standard deviation: 69.481514

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept14.87404863.361184 ≠ 0100.234750150.8191
Slope0.156311880.023579699 ≠ 0106.6290872<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1212151.45212151.4543.944797<0.0001
Error1048276.8084827.6808
Total11260428.26
Simple Linear Regression
mobley69Jun 14, 20183KB4
Simple linear regression results:
Dependent Variable: "Selling Price"
Independent Variable: "Square Footage"
"Selling Price" = 14.874048 + 0.15631188 "Square Footage"
Sample size: 12
R (correlation coefficient) = 0.90256596
R-sq = 0.81462531
Estimate of error standard deviation: 69.481514

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept14.87404863.361184 ≠ 0100.234750150.8191
Slope0.156311880.023579699 ≠ 0106.6290872<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1212151.45212151.4543.944797<0.0001
Error1048276.8084827.6808
Total11260428.26
Simple Linear Regression data
aileennatalie1Jun 13, 20183KB3
Simple Linear Regression test 2 question #10vramirez417Jun 13, 2018174B6
Simple linear regression results:
Dependent Variable: Binders issued (y)
Independent Variable: Number of underwriters (x)
Binders issued (y) = 18.619048 + 3.2571429 Number of underwriters (x)
Sample size: 6
R (correlation coefficient) = 0.95554587
R-sq = 0.91306792
Estimate of error standard deviation: 2.1021531

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept18.6190486.339739 ≠ 042.93687920.0425
Slope3.25714290.5025107 ≠ 046.48173830.0029

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1185.65714185.6571442.0129310.0029
Error417.676194.4190476
Total5203.33333
Simple Linear Regression
billjosephsonJun 13, 20183KB5
Simple Linear Regression- residual indexsontiverJun 13, 2018174B5
Simple Linear RegressionaaliyaheJun 12, 2018174B2
Simple Linear RegressionaaliyaheJun 12, 2018174B3
Simple linear regression results:
Dependent Variable: "Selling Price"
Independent Variable: "Square Footage"
"Selling Price" = 14.874048 + 0.15631188 "Square Footage"
Sample size: 12
R (correlation coefficient) = 0.90256596
R-sq = 0.81462531
Estimate of error standard deviation: 69.481514

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept14.87404863.361184 ≠ 0100.234750150.8191
Slope0.156311880.023579699 ≠ 0106.6290872<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1212151.45212151.4543.944797<0.0001
Error1048276.8084827.6808
Total11260428.26
Simple Linear Regression
aaliyaheJun 12, 20183KB3
Simple linear regression results:
Dependent Variable: "Selling Price"
Independent Variable: "Square Footage"
"Selling Price" = 14.874048 + 0.15631188 "Square Footage"
Sample size: 12
R (correlation coefficient) = 0.90256596
R-sq = 0.81462531
Estimate of error standard deviation: 69.481514

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept14.87404863.361184 ≠ 0100.234750150.8191
Slope0.156311880.023579699 ≠ 0106.6290872<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1212151.45212151.4543.944797<0.0001
Error1048276.8084827.6808
Total11260428.26
Simple Linear Regression
a2cnoteJun 11, 20183KB3
Simple Linear Regression for Type: PBsarahbJun 8, 2018174B5
Simple linear regression results:
Dependent Variable: var2
Independent Variable: var1
var2 = -2.6295964 + 2.1497718 var1
Sample size: 18
R (correlation coefficient) = 0.48600942
R-sq = 0.23620516
Estimate of error standard deviation: 0.29394968

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-2.62959642.6511057 ≠ 016-0.991886680.336
Slope2.14977180.96644254 ≠ 0162.22441760.0409

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model10.427541840.427541844.94803360.0409
Error161.38250260.086406413
Total171.8100444
Simple Linear Regression ss and kh final stats
kh4251Jun 7, 20183KB8
Simple linear regression results:
Dependent Variable: #of Views
Independent Variable: Video Length
#of Views = 40994.324 + 811.0153 Video Length
Sample size: 10
R (correlation coefficient) = 0.19396419
R-sq = 0.037622107
Estimate of error standard deviation: 44408.053

Parameter estimates:
ParameterEstimateStd. Err.DF95% L. Limit95% U. Limit
Intercept40994.32432328.4298-33555.167115543.81
Slope811.01531450.22488-2533.20894155.2396

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model16.1675253e86.1675253e80.312742910.5913
Error81.5776602e101.9720752e9
Total91.6393354e10
Simple Linear Regression
jjbalMay 29, 20183KB9
Simple linear regression results:
Dependent Variable: views
Independent Variable: length
views = 40994.324 + 811.0153 length
Sample size: 10
R (correlation coefficient) = 0.19396419
R-sq = 0.037622107
Estimate of error standard deviation: 44408.053

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept40994.32432328.429 ≠ 081.2680580.2404
Slope811.01531450.2248 ≠ 080.559234210.5913

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model16.1675253e86.1675253e80.312742910.5913
Error81.5776602e101.9720752e9
Total91.6393354e10
Simple Linear Regression
nylap123May 28, 20183KB5
Simple linear regression results:
Dependent Variable: mileage
Independent Variable: mileage
mileage = 0 + 1 mileage
Sample size: 25
R (correlation coefficient) = 1
R-sq = 1
Estimate of error standard deviation: 0

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept00 ≠ 023NaNNaN
Slope10 ≠ 023InfinityNaN

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1840.16840.16Infinity<0.0001
Error2300
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
callmenadiyaMay 25, 20183KB9

1 2 3 4 5 6 7 8 9 10   >

Always Learning