How would you interpret this interaction? The structure of the data is all integer variables. Inc.fix= income, age.fix=age, profit99= profit
Call:
lm(formula = Profit99 ~ Age.fix + Inc.fix + Age.fix:Inc.fix,
data = pilg)
Residuals:
Min 1Q Median 3Q Max
-421.86 -148.76 -84.45 55.67 1938.70
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -139.9706 11.1273 -12.579 < 2e-16 ***
Age.fix 37.8453 2.4430 15.491 < 2e-16 ***
Inc.fix 26.5252 1.9790 13.403 < 2e-16 ***
Age.fix:Inc.fix -2.2217 0.4475 -4.965 6.92e-07 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 268.1 on 31630 degrees of freedom
Multiple R-squared: 0.03443, Adjusted R-squared: 0.03434
F-statistic: 375.9 on 3 and 31630 DF, p-value: < 2.2e-16
car::scatter3d()
might be useful. $\endgroup$