macro_loader()
final$Non.rural.commodity.prices.AU
fit <- lm(Mining ~ Non.rural.commodity.prices.AU + CPI , data=final)
summary(fit) # show results
final$Mining
ggplot(data = quarterly_macro ) +
ylab('percent') +
geom_line(aes(x=Date, y=realwagegrowth, col = "Real Wage"), size=1, alpha=.5) +
geom_line(aes(x=Date, y=GDP.growth.nominal , col = "GDP GNom"), size=1, alpha=.5) +
geom_hline(yintercept = 0) +
theme(legend.position=c(.1,.85))
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