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Name/Notes Owner Created Size Views
Simple Linear Regressionantoniomusacco21Dec 11, 2018174B2
Mordecai Pt. 2 :)mordecaideguzman12Dec 11, 2018174B1

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 46.985728 - 0.0054813297 weight
Sample size: 24
R (correlation coefficient) = -0.8994701
R-sq = 0.80904646
Estimate of error standard deviation: 2.6894402

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept46.9857282.3760445 ≠ 02219.774767<0.0001
Slope-0.00548132970.00056774291 ≠ 022-9.6545983<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1674.20538674.2053893.211269<0.0001
Error22159.127957.2330887
Total23833.33333
shwifty2
1920691Dec 11, 20183KB1

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
5730466Dec 11, 20183KB1

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
jrrico1Dec 11, 20183KB1
Simple Linear RegressionhussainymiraliDec 11, 2018174B3

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
advinculajustineDec 11, 20183KB1

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
hussainymiraliDec 11, 20183KB1

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
ktwin6Dec 11, 20183KB2

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression for Car Weight and Mileages
math119tudentDec 11, 20183KB3

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
miracleestacioDec 11, 20183KB1

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Car weights and mileage
ianlamarDec 11, 20183KB3
Simple Linear Regressionvera-kisluhinaDec 11, 2018174B0

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Mordecai's Graph :)
mordecaideguzman12Dec 11, 20183KB1

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
Simple Linear Regression
math119tudentDec 11, 20183KB0

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