Describe any interesting features, such as outliers, seen in the scatterplot matrix. Keep in mind that the goal is to predict changes in consumption. Which variables seem best suited for that purpose?...

Describe any interesting features, such as outliers, seen in the scatterplot matrix. Keep in mind that the goal is to predict changes in consumption. Which variables seem best suited for that purpose? Do you think there will be collinearity problems?

 Next, run the code below to fit a multiple linear regression model to consumption using the other four variables as predictors.

 fitLm1 = lm(consumption ~ dpi + cpi + government + unemp)

 summary(fitLm1)

 confint(fitLm1)