Finding the impact of one value on a computed metric and vice versa

Here you are! Apologies for the formatting!

model.lm <- lm(formula=HBCpercSTWwoMSP ~ HBCwoMSP + straighttimewages + servicedivision + employeegroup + as.factor(year) + servicedivision:employeegroup,data=workingdata,na.action=na.omit) Anova(model.lm,type='II') Anova Table (Type II tests)

Response: HBCpercSTWwoMSP Sum Sq Df F value Pr(>F)
HBCwoMSP 0.32932 1 275.8602 < 2.2e-16 *** straighttimewages 0.29725 1 248.9935 < 2.2e-16 *** servicedivision 0.01239 2 5.1890 0.005724 ** employeegroup 0.03933 2 16.4726 9.078e-08 *** as.factor(year) 0.00414 2 1.7356 0.176801
servicedivision:employeegroup 0.01134 4 2.3753 0.050435 .

Residuals 1.23081 1031

Signif. codes: 0 '**' 0.001 '' 0.01 '' 0.05 '.' 0.1 ' ' 1

summarylm(model.lm)

Call: lm(formula = HBCpercSTWwoMSP ~ HBCwoMSP + straighttimewages + servicedivision + employeegroup + as.factor(year) + servicedivision:employeegroup, data = workingdata, na.action = na.omit)

Residuals: Min 1Q Median 3Q Max -0.10916 -0.01324 -0.00066 0.01256 0.37056

Coefficients: Estimate Std. Error t value Pr(>|t|)
(Intercept) 8.173e-02 8.360e-03 9.777 <2e-16 *** HBCwoMSP 4.101e-07 2.469e-08 16.609 <2e-16 *** straighttimewages -3.090e-08 1.958e-09 -15.780 <2e-16 *** servicedivisionCommunity Living Services -1.630e-03 8.538e-03 -0.191 0.8486
servicedivisionGeneral Services 1.097e-03 8.507e-03 0.129 0.8975
employeegroupManagement & Excluded -3.068e-02 1.172e-02 -2.617 0.0090 ** employeegroupNon-Union -3.983e-02 2.158e-02 -1.845 0.0653 .
as.factor(year)2013 -3.722e-03 2.576e-03 -1.445 0.1487
as.factor(year)2014 -4.665e-03 2.682e-03 -1.740 0.0822 .
servicedivisionCommunity Living Services:employeegroupManagement & Excluded 2.912e-02 1.218e-02 2.391 0.0170 *
servicedivisionGeneral Services:employeegroupManagement & Excluded 2.916e-02 1.218e-02 2.394 0.0168 *
servicedivisionCommunity Living Services:employeegroupNon-Union 1.599e-02 2.206e-02 0.725 0.4687

servicedivisionGeneral Services:employeegroupNon-Union 2.794e-02 2.218e-02 1.260 0.2081

Signif. codes: 0 '**' 0.001 '' 0.01 '' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.03455 on 1031 degrees of freedom (14 observations deleted due to missingness) Multiple R-squared: 0.2757, Adjusted R-squared: 0.2672 F-statistic: 32.7 on 12 and 1031 DF, p-value: < 2.2e-16

/r/AskStatistics Thread Parent