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Owner: kalinross
Created: Jun 18, 2019
Size: 174B
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Views: 13
 
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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
Summary Stats

Summary statistics:


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

By kalinross
On Jun 18, 2019
 
Reports with this result:
None
Simple Linear Regression
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