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Showing 1 to 15 of 3971 results matching Simple Linear Regression
Name/Notes Owner Created Size Views
Simple Linear Regressionprincesslita112Sep 23, 2018174B1
Simple Linear Regression
lab4
arnold_yuSep 21, 2018174B0
Simple Linear Regressionrcoope1Sep 20, 2018174B10
Simple linear regression results:
Dependent Variable: Time
Independent Variable: Year
Time = 994.19341 - 0.39304496 Year
Sample size: 24
R (correlation coefficient) = -0.89075356
R-sq = 0.7934419
Estimate of error standard deviation: 6.7634302

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept994.1934183.377999 ≠ 02211.92393<0.0001
Slope-0.393044960.042755741 ≠ 022-9.1927996<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model13865.71313865.713184.507565<0.0001
Error221006.367845.743989
Total234872.0809
Simple Linear Regression
elenamouratov73Sep 16, 20183KB5
Simple linear regression results:
Dependent Variable: 2013 Fertility
Independent Variable: 2013 Life Expectancy
2013 Fertility = 13.508309 - 0.1486111 2013 Life Expectancy
Sample size: 198
R (correlation coefficient) = -0.80023058
R-sq = 0.64036897
Estimate of error standard deviation: 0.83772666

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept13.5083090.57716639 ≠ 019623.404531<0.0001
Slope-0.14861110.0079549354 ≠ 0196-18.681623<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1244.92543244.92543349.00303<0.0001
Error196137.550050.70178596
Total197382.47548
Simple Linear Regression
cakersSep 14, 20183KB3
Simple Linear Regression 4.2.29jrpayne210Sep 6, 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 4.2.29
jrpayne210Sep 6, 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
jrpayne210Sep 6, 20183KB3
Simple Linear Regression index plotpammela1016Sep 6, 2018174B5
Simple Linear Regression fitted linepammela1016Sep 6, 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
pammela1016Sep 6, 20183KB1
Simple linear regression results:
Dependent Variable: Age of Mother at Birth
Independent Variable: Age of Mother at Birth
Age of Mother at Birth = 0 + 1 Age of Mother at Birth
Sample size: 31
R (correlation coefficient) = 1
R-sq = 1
Estimate of error standard deviation: 0

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept00 ≠ 029NaNNaN
Slope10 ≠ 029InfinityNaN

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model11149.93551149.9355Infinity<0.0001
Error2900
Total301149.9355
Simple Linear Regression Lab 2
vespar11Sep 5, 20183KB4
Simple Linear Regressionronnie_geeSep 5, 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
ronnie_geeSep 5, 20183KB2
Simple Linear RegressionlcanalesSep 5, 2018174B2

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