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Result Properties
Owner: kalinross
Created: Jun 18, 2019
Size: 2KB
Share: yes
Views: 15
 
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Boxplot
Boxplot
By kalinross
On Jun 18, 2019
Correlation
Correlation between Record_ID# and SALARY is:
0.26865602

By kalinross
On Jun 18, 2019
Simple Linear Regression

Simple linear regression results:


Dependent Variable: SALARY
Independent Variable: Record_ID#
SALARY = 3235706 + 91581.951 Record_ID#
Sample size: 30
R (correlation coefficient) = 0.26865602
R-sq = 0.072176059
Estimate of error standard deviation: 4154905.4

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept32357061693506.7 ≠ 0281.91065440.0663
Slope91581.95162053.614 ≠ 0281.4758520.1511

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model13.7601736e133.7601736e132.17813910.1511
Error284.8337068e141.7263239e13
Total295.2097242e14

By kalinross
On Jun 18, 2019
 
Reports with this result:
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Summary Stats
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Summary statistics:


ColumnMinMeanVarianceStd. dev.MedianRangeQ1Q3IQRMode
Record_ID#124.4154.593112.43354824.542143622No mode
SALARY7000005470305.61.7964566e134238462.7455000018229923300000066666663666666Multiple modes


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<A href="https://www.statcrunch.com/5.0/viewresult.php?resid=2702259">Summary Stats</A>

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