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for dataid=3078629
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Name/Notes Owner Created Size Views
BoxplotkalinrossJun 18, 2019174B39
Correlation between Record_ID# and SALARY is:
0.26865602
Correlation
kalinrossJun 18, 201959B40

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
Simple Linear Regression
kalinrossJun 18, 20193KB36
Simple Linear RegressionkalinrossJun 18, 2019174B34

Summary statistics:


ColumnMinMeanVarianceStd. dev.MedianRangeQ1Q3IQRMode
Record_ID#124.4154.593112.43354824.542143622No mode
SALARY7000005470305.61.7964566e134238462.7455000018229923300000066666663666666Multiple modes
Summary Stats
kalinrossJun 18, 20192KB34


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