Question: this is giving nan for null deviance q5_raceResults % filter(year %in% 1950:2023) %>% filter(grid > 0, position > 0) %>% mutate(win = ifelse(position == 1,

this is giving nan for null deviance

q5_raceResults <- raceResults %>% filter(year %in% 1950:2023) %>% filter(grid > 0, position > 0) %>% mutate(win = ifelse(position == 1, 1, 0))

model <- glm(win ~ grid, family = binomial(), data = q5_raceResults, weights = q5_raceResults$win)

Q5 <- summary(model)

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