How to interpret categorical variable significant ANOVA interaction in R?

I have this output from a R ANOVA analysis and the graph attached. I want to verify if the interpretation for the scenario is correct?

                      Estimate   Std. Error z value Pr(>|z|)
(Intercept)             1.7918     0.6236   2.873  0.00206 **
typeHigh               -1.5911     0.7687  -2.070  0.01847 *
statusBlack            -1.2528     0.7843  -1.597  0.11018
typeHigh:statusBlack    2.4384     1.0628   2.294  0.01177 *

1. Line 4 of result -- The difference between the status: Black and Gray is different for the type: Low vs High. Here, At low: black decreases w.r.t to gray and at high it increases w.r.t to gray

2. Line 1 of result -- How do I interpret the first line alone?

3. Finally, is it correct to say that as we go from low to high: Gray decreases significantly i.e. Gray in "Low" is different from Gray in "High". Also, does black increase significantly i.e. Black in "Low" is different from Black in "High".

• I ran a glm negative binomial function, so the values are from the estimate. Ignore those – Biotechgeek Jul 24 '19 at 16:43
• negative binomial and ANOVA are totally different things. Then my first comment based on ANOVA is wrong. – user158565 Jul 24 '19 at 17:03