QOI: Bush got benefit after introducing Buchannon in Florida?

library(Sleuth3)
head(ex1222)
##     County Buchanan2000 Gore2000 Bush2000 Nader2000 Browne2000 Total2000
## 1  Alachua          262    47300    34062      3215        658     85235
## 2    Baker           73     2392     5610        53         17      8072
## 3      Bay          248    18850    38637       828        171     58486
## 4 Bradford           65     3072     5413        84         28      8597
## 5  Brevard          570    97318   115185      4470        643    217616
## 6  Broward          789   386518   177279      7099       1212    572108
##   Clinton96 Dole96 Perot96 Buchanan96p ReformReg TotalReg
## 1     40144  25303    8072        2151        91   120867
## 2      2273   3684     667          73         4    12352
## 3     17020  28290    5922        1816        55    92749
## 4      3356   4038     819         155         3    13547
## 5     80416  87980   25249        7927       148   283680
## 6    320736 142834   38964       10966       332   887764
df = 0
df$log_x <- log(ex1222$Buchanan2000)
## Warning in df$log_x <- log(ex1222$Buchanan2000): Coercing LHS to a list
df$log_y <- log(ex1222$Bush2000)
df$log_z <- log(ex1222$Gore2000)

#model Bush vs Gore
model1 <- lm(log_y ~ log_x, data = df)

#model Bush vs Gore after Buch
model2 <- lm(log_y ~ log_x + log_z, data = df)

#model Bush vs Gore after Buch interaction
model2 <- lm(log_y ~ log_x + log_z + log_x*log_z, data = df)

Bush vs Gore is linear relationship (red) with 0.886 of slope. Bush is leading little bit(?). After introducing Buchannon (blue), the slope is 0.293. Bush is leading a lot (?). AFter introducing intercation with Buch and Gore (green) the slope is 0.756. Bush is leading little more (?)

Q1. Does the interaction term mean there is suspect interaction between Buchannon and Gore? Q2. How much?