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for Wine and Crime
Showing 1 to 23 of 23 results
Name/Notes Owner Created Size Views
Simple Linear Regression: Wine Consumption and Crime Ratebrianahopkins54Jul 16, 201412KB1672
Simple linear regression results:
Dependent Variable: Violent crime rate
Independent Variable: Wine consumption per capita
Violent crime rate = 364.09922 + 99.773883 Wine consumption per capita
Sample size: 35
R (correlation coefficient) = 0.26061079
R-sq = 0.067917984
Estimate of error standard deviation: 104.95475

Parameter estimates:
Parameter Estimate Std. Err. Alternative DF T-Stat P-Value
Intercept 364.09922 127.84357 ≠ 0 33 2.8480056 0.0075
Slope 99.773883 64.342003 ≠ 0 33 1.5506804 0.1305

Analysis of variance table for regression model:
Source DF SS MS F-stat P-value
Model 1 26487.976 26487.976 2.4046097 0.1305
Error 33 363511.47 11015.499
Total 34 389999.45
Simple Linear Regression: Wine Consumption and Crime Rates
brianahopkins54Jul 16, 20143KB1664
Scatter Plot: Crime Rates and Wine Consumptionbrianahopkins54Jul 16, 201412KB1728
3D Rotating Plot for Wine/Crime data
An example of saved output from the dynamic StatCrunch 3D Rotating plot
websterwestOct 20, 201320KB12472
Wine Consumption from 1970-2005ishyabk2011Mar 11, 201213KB1637
Variable: Wine consumption per capita
 
Decimal point is at the colon.
 
1 : 3
1 : 566677777889999
2 : 0000001112223334444
 
consumption of alcoholStem and Leaf
cecilia-riveraFeb 17, 2010143B1709
Variable: Violent crime rate
 
Decimal point is 2 digit(s) to the right of the colon.
 
3 : 6
4 : 002
4 : 6678899
5 : 001244
5 : 56779
6 : 011244
6 : 68
7 : 13
7 : 566
 
violent crime rateStem and Leaf
cecilia-riveraFeb 17, 2010188B689
Boxplotcecilia-riveraFeb 17, 20103KB679
Histogram of wine and crimececilia-riveraFeb 17, 201013KB674
Boxplot of Violent Crime Ratekellyv90Sep 27, 20092KB672
Variable: Violent crime rate
3 : 6
4 : 002
4 : 6678899
5 : 001244
5 : 56779
6 : 011244
6 : 68
7 : 13
7 : 566

Stem and Leaf of Violent Crime Rate
kellyv90Sep 27, 2009173B571
Variable: Wine consumption per capita
1 : 3
1 : 566677777889999
2 : 0000001112223334444

Stem and Leaf of Wine Consumption
kellyv90Sep 27, 2009122B473
Histogram of Violent Crime Ratekellyv90Sep 27, 20093KB2616
Histogram of Wine Consumptionkellyv90Sep 27, 20093KB516
Variable: Violent crime rate
3 : 6
4 : 002
4 : 6678899
5 : 001244
5 : 56779
6 : 011244
6 : 68
7 : 13
7 : 566

Stem and Leaf
kellyv90Sep 27, 2009173B449
Histogramkellyv90Sep 27, 20093KB501
wine/crime residuals09carpsOct 16, 20083KB564
wine/crime09carpsOct 16, 20083KB579
Simple linear regression results:
Dependent Variable: Violent crime rate
Independent Variable: Wine consumption per capita
Violent crime rate = 364.0992 + 99.77388 Wine consumption per capita
Sample size: 35
R (correlation coefficient) = 0.2606
R-sq = 0.06791798
Estimate of error standard deviation: 104.95475
Parameter estimates:
Parameter Estimate Std. Err. DF T-Stat P-Value
Intercept 364.0992 127.843575 33 2.8480055 0.0075
Slope 99.77388 64.342 33 1.5506804 0.1305

Analysis of variance table for regression model:
Source DF SS MS F-stat P-value
Model 1 26487.977 26487.977 2.4046097 0.1305
Error 33 363511.47 11015.499
Total 34 389999.44
wine/crime
09carpsOct 16, 20082KB544
Crime vs. YearwebsterwestFeb 29, 20085KB791
Wine vs.YearwebsterwestFeb 29, 20085KB730
Crime vs. Wine (connected over the years 1970 to 2004)
The two time periods connect at the obvious point.
websterwestFeb 29, 20084KB876
Wine vs. Crime
A strange plot indeed
websterwestFeb 29, 20083KB797

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