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Owner: websterwest
Created: Oct 20, 2013
Size: 20KB
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Views: 8507
 
Data set for this result:
Wine and Crime

By websterwest
On Feb 29, 2008
 
Recently shared results for this data set:
Simple Linear Regression: Wine Consumption and Crime Rates
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

By brianahopkins54@yahoo.com
On Jul 16, 2014
consumption of alcoholStem and Leaf
Variable: Wine consumption per capita
 
Decimal point is at the colon.
 
1 : 3
1 : 566677777889999
2 : 0000001112223334444
 

By cecilia-rivera
On Feb 17, 2010
 
Reports with this result:
None
3D Rotating Plot for Wine/Crime data
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An example of saved output from the dynamic StatCrunch 3D Rotating plot

HTML link:
<A href="https://www.statcrunch.com/5.0/viewresult.php?resid=1421670">3D Rotating Plot for Wine/Crime data</A>

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