Small error. This is how the output looks like
lm.out <- lm(pv1~AGE+EDU+SIZE+SCOPE+MGMT+SCOPE+TENURE, data=data)
summary(lm.out)
Call:
lm(formula = pv1 ~ AGE + EDU + SIZE + SCOPE + MGMT + SCOPE +
TENURE, data = data)
Residuals:
Min 1Q Median 3Q Max
-2.9333 -0.5773 0.1871 0.4139 1.6265
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4.03108 0.54933 7.338 1.19e-11 ***
AGE -0.01440 0.04570 -0.315 0.753
EDU -0.11773 0.11807 -0.997 0.320
SIZE -0.01542 0.04173 -0.370 0.712
SCOPE -0.09350 0.11778 -0.794 0.429
MGMT 0.21649 0.18681 1.159 0.248
TENURE 0.01434 0.06109 0.235 0.815
Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.99 on 153 degrees of freedom
Multiple R-squared: 0.03106, Adjusted R-squared: -0.006937
F-statistic: 0.8174 on 6 and 153 DF, p-value: 0.558