![]() In many research settings, the response variable is the time to an event. The option gg = TRUE is used to produce a ggplot2 graph. The visreg function takes (1) the model and (2) the variable of interest and plots the conditional relationship, controlling for the other variables. The visreg package provides tools for visualizing these conditional relationships. Additionally, waterfront home cost approximately $120,726 more than non-waterfront home, again controlling for the other variables in the model. Houses_lm <- lm(price ~ lotSize + age + landValue + livingArea + bedrooms + bathrooms + waterfront,ĭata = SaratogaHouses) Table 8.1: Linear Regression results termįrom the results, we can estimate that an increase of one square foot of living area is associated with a home price increase of $75, holding the other variables constant. By default, it creates a ggplot2 graph were darker red indicates stronger positive correlations, darker blue indicates stronger negative correlations and white indicates no correlation. The ggcorrplot function in the ggcorrplot package can be used to visualize these correlations. ![]() Round(r, 2) # price lotSize age landValue livingArea pctCollege bedrooms
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