Pr(>Chisq) interpretation and p-value I wanted to compare $2$ models and I did anova then get this outcome.
I need a p-value but I got this.
I cannot figure it out how I need to interpret Values of Chisq ($1.1215$) and Pr(>Chisq) ($0.5708$)
         npar   AIC     BIC logLik deviance  Chisq Df Pr(>Chisq)
Modell_2   12 -1918.6 -1857.1 971.31  -1942.6                     
Modell_1   14 -1915.8 -1843.9 971.88  -1943.8 1.1215  2     0.5708

Could you help me to interpret these values so that I can get how can I know from this table whether the difference between Modell 2 and Modell 1 significant is.

When you do this kind of analysis you should pick a significance level $\alpha$ that will help you decide wether to reject the null hypothesis (models have same variance, etc.). Generally this value is set to 0.05 and you will reject the null hypothesis if p < $\alpha$. In this case $0.57 >> 0.05$ so I would conclude that there is no statistically significant difference between the two.
