StatCrunch logo (home)

Results shared by StatCrunch members
Showing 1 to 13 of 13 results matching meng
Name/Notes Owner Created Size Views
Boxplot(zeyi)zmeng45May 25, 2019174B29
Boxplot(zeyi)zmeng45May 25, 2019174B32
Histogramzmeng45May 19, 2019174B32
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

Residuals stored in new column: Residuals
Simple Linear Regression part 2 - Jonathan Meng
meng.jonathanJul 2, 20183KB32
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 - Jonathan Meng
meng.jonathanJul 2, 20183KB36
Mean/Std. Dev. vs. Median/IQRmengna11Feb 1, 2018174B55
Case study #1mengna11Jan 19, 2018174B72
Hypergeometric CalculatorlillianmengApr 8, 20155KB300
Bar Plot With DatacarmengroehlerJun 10, 20148KB167
Histogram- Male/female hourscarmengroehlerJun 10, 20147KB206
Pie Chart With DatacarmengroehlerJun 10, 201420KB188
Bar Plot With Data years of nursingcarmengroehlerJun 10, 20146KB196
example 1 Histogram
width = 60
yodamengJan 24, 20144KB125


Always Learning