I am currently working on logistic regression in R and I have trained the model but when I am looking at summary of model, I am not able to understand what is z value and Pr(>|z|) explains ?

data(mtcars)

names(mtcars)

model1<-glm(formula=vs~wt+disp,data=mtcars,family=“binomial”)

summary(model1)

Call:

glm(formula = vs ~ wt + disp, family = “binomial”, data = mtcars)

Deviance Residuals:

Min 1Q Median 3Q Max

-1.67506 -0.28444 -0.08401 0.57281 2.08234

## Coefficients:

Estimate Std. Error z value Pr(>|z|)

(Intercept) 1.60859 2.43903 0.660 0.510

wt 1.62635 1.49068 1.091 0.275

disp -0.03443 0.01536 -2.241 0.025 *

Signif. codes: 0 ‘* ’ 0.001 ‘’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

(Dispersion parameter for binomial family taken to be 1)

```
Null deviance: 43.86 on 31 degrees of freedom
```

Residual deviance: 21.40 on 29 degrees of freedom

AIC: 27.4

Number of Fisher Scoring iterations: 6