177 lines
7.3 KiB
R
177 lines
7.3 KiB
R
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rok <- 1995:2002
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liczba_przypadkow <- c(39.7, 38.2, 34.7, 33.1, 30.1, 28.4, 26.3, 24.7)
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data_set <- data.frame(rok = rok, liczba_przypadkow = liczba_przypadkow)
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View(data_set)
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plot(data_set, main = "Wykres rozrzutu", pch = 16)
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model <- lm(liczba_przypadkow ~ rok, data = data_set)
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model$coefficients
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plot(data_set, main = "Wykres rozrzutu", pch = 16)
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abline(model, col = "red", lwd = 2)
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coef(model)
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confint(model)
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summary(model)
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fitted(model)
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residuals(model)
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View(data_set)
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temp_rok <- data.frame(rok = seq(min(data_set$rok) - 10,
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max(data_set$rok) + 10,
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length = 100))
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pred <- stats::predict(model, temp_rok, interval = "prediction")
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plot(data_set, main = "Wykres rozrzutu", pch = 16)
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abline(model, col = "red", lwd = 2)
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lines(temp_rok$rok, pred[, 2], lty = 2, col = "red")
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lines(temp_rok$rok, pred[, 3], lty = 2, col = "red")
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new_rok <- data.frame(rok = 2003:2007)
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(pred_2003_2007 <- stats::predict(model, new_rok, interval = 'prediction'))
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plot(data_set, main = "Wykres rozrzutu z predykcj<63> na lata 2003-2007", pch = 16,
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xlim = c(1995, 2007), ylim = c(10, 40))
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plot(data_set, main = "Wykres rozrzutu z predykcją na lata 2003-2007", pch = 16,
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xlim = c(1995, 2007), ylim = c(10, 40))
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abline(model, col = "red", lwd = 2)
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points(2003:2007, pred_2003_2007[, 1], col = "blue", pch = 16)
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temp_rok <- data.frame(rok = seq(1994, 2008, length = 100))
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pred <- stats::predict(model, temp_rok, interval = "prediction")
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lines(temp_rok$rok, pred[, 2], lty = 2, col = "red")
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lines(temp_rok$rok, pred[, 3], lty = 2, col = "red")
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View(temp_rok)
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View(pred)
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load(url("http://ls.home.amu.edu.pl/data_sets/braking.RData"))
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load(url("http://ls.home.amu.edu.pl/data_sets/braking.RData"))
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head(braking)
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plot(braking, main = "Wykres rozrzutu", pch = 16)
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View(braking)
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which(braking$distance > 150)
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model <- lm(distance ~ speed, data = braking)
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plot(braking, main = "Wykres rozrzutu", pch = 16)
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abline(model, col = "red", lwd = 2)
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coef(model)
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confint(model)
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summary(model)
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fitted(model)
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residuals(model)
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temp_speed <- data.frame(speed = seq(min(braking$speed) - 10,
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max(braking$speed) + 10,
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length = 100))
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pred <- stats::predict(model, temp_speed, interval = "prediction")
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plot(braking, main = "Wykres rozrzutu", pch = 16, ylim = c(-50, 200))
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abline(model, col = "red", lwd = 2)
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lines(temp_speed$speed, pred[, 2], lty = 2, col = "red")
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lines(temp_speed$speed, pred[, 3], lty = 2, col = "red")
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new_speed <- data.frame(speed = 30:50)
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(pred_30_50 <- stats::predict(model, new_speed, interval = 'prediction'))
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plot(braking, main = "Wykres rozrzutu z predykcj<63> dla pr<70>dko<6B>ci 30, 31, ..., 50", pch = 16,
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xlim = c(0, 50), ylim = c(-50, 200))
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abline(model, col = "red", lwd = 2)
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points(30:50, pred_30_50[, 1], col = "blue", pch = 16)
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temp_speed <- data.frame(speed = seq(-5, 55, length = 100))
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pred <- stats::predict(model, temp_speed, interval = "prediction")
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lines(temp_speed$speed, pred[, 2], lty = 2, col = "red")
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lines(temp_speed$speed, pred[, 3], lty = 2, col = "red")
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model <- lm(distance ~ speed - 1, data = braking)
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plot(braking, main = "Wykres rozrzutu", pch = 16)
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abline(model, col = "red", lwd = 2)
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coef(model)
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confint(model)
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summary(model)
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temp_speed <- data.frame(speed = seq(min(braking$speed) - 10,
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max(braking$speed) + 10,
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length = 100))
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pred <- stats::predict(model, temp_speed, interval = "prediction")
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plot(braking, main = "Wykres rozrzutu", pch = 16, ylim = c(-50, 200))
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abline(model, col = "red", lwd = 2)
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lines(temp_speed$speed, pred[, 2], lty = 2, col = "red")
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lines(temp_speed$speed, pred[, 3], lty = 2, col = "red")
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new_speed <- data.frame(speed = 30:50)
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(pred_30_50 <- stats::predict(model, new_speed, interval = 'prediction'))
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plot(braking, main = "Wykres rozrzutu z predykcj<63> dla pr<70>dko<6B>ci 30, 31, ..., 50", pch = 16,
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xlim = c(0, 50), ylim = c(-50, 200))
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abline(model, col = "red", lwd = 2)
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points(30:50, pred_30_50[, 1], col = "blue", pch = 16)
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temp_speed <- data.frame(speed = seq(-5, 55, length = 100))
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pred <- stats::predict(model, temp_speed, interval = "prediction")
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lines(temp_speed$speed, pred[, 2], lty = 2, col = "red")
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lines(temp_speed$speed, pred[, 3], lty = 2, col = "red")
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braking_1 <- braking[-27, ]
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model_1 <- lm(distance ~ speed, data = braking_1)
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plot(braking_1, main = "Wykres rozrzutu", pch = 16)
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abline(model_1, col = "green", lwd = 2)
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coef(model_1)
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confint(model_1)
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summary(model_1)
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fitted(model_1)
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residuals(model_1)
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temp_speed_1 <- data.frame(speed = seq(min(braking_1$speed) - 10,
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max(braking_1$speed) + 10,
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length = 100))
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pred_1 <- stats::predict(model_1, temp_speed_1, interval = "prediction")
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plot(braking_1, main = "Wykres rozrzutu", pch = 16, ylim = c(-50, 120))
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abline(model_1, col = "green", lwd = 2)
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lines(temp_speed_1$speed, pred_1[, 2], lty = 2, col = "green")
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lines(temp_speed_1$speed, pred_1[, 3], lty = 2, col = "green")
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new_speed <- data.frame(speed = 30:50)
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(pred_30_50_1 <- stats::predict(model_1, new_speed, interval = 'prediction'))
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plot(braking_1, main = "Wykres rozrzutu z predykcj<63> dla pr<70>dko<6B>ci 30, 31, ..., 50", pch = 16,
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xlim = c(0, 50), ylim = c(-50, 200))
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abline(model_1, col = "green", lwd = 2)
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points(30:50, pred_30_50_1[, 1], col = "blue", pch = 16)
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temp_speed <- data.frame(speed = seq(-5, 55, length = 100))
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pred_1 <- stats::predict(model_1, temp_speed, interval = "prediction")
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lines(temp_speed$speed, pred_1[, 2], lty = 2, col = "green")
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lines(temp_speed$speed, pred_1[, 3], lty = 2, col = "green")
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braking_1 <- braking[-27, ]
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model_1 <- lm(distance ~ speed - 1, data = braking_1)
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plot(braking_1, main = "Wykres rozrzutu", pch = 16)
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abline(model_1, col = "green", lwd = 2)
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coef(model_1)
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confint(model_1)
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summary(model_1)
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fitted(model_1)
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residuals(model_1)
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braking_1 <- braking[-27, ]
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model_1 <- lm(distance ~ speed - 1, data = braking_1)
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plot(braking_1, main = "Wykres rozrzutu", pch = 16)
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abline(model_1, col = "green", lwd = 2)
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coef(model_1)
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confint(model_1)
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summary(model_1)
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fitted(model_1)
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residuals(model_1)
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braking_1 <- braking[-27, ]
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model_1 <- lm(distance ~ speed, data = braking_1)
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plot(braking_1, main = "Wykres rozrzutu", pch = 16)
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abline(model_1, col = "green", lwd = 2)
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coef(model_1)
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confint(model_1)
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braking_1 <- braking[-27, ]
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model_1 <- lm(distance ~ speed - 1, data = braking_1)
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plot(braking_1, main = "Wykres rozrzutu", pch = 16)
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abline(model_1, col = "green", lwd = 2)
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coef(model_1)
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confint(model_1)
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summary(model_1)
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fitted(model_1)
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residuals(model_1)
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temp_speed_1 <- data.frame(speed = seq(min(braking_1$speed) - 10,
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max(braking_1$speed) + 10,
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length = 100))
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pred_1 <- stats::predict(model_1, temp_speed_1, interval = "prediction")
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plot(braking_1, main = "Wykres rozrzutu", pch = 16, ylim = c(-50, 120))
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abline(model_1, col = "green", lwd = 2)
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lines(temp_speed_1$speed, pred_1[, 2], lty = 2, col = "green")
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lines(temp_speed_1$speed, pred_1[, 3], lty = 2, col = "green")
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new_speed <- data.frame(speed = 30:50)
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(pred_30_50_1 <- stats::predict(model_1, new_speed, interval = 'prediction'))
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plot(braking_1, main = "Wykres rozrzutu z predykcj<63> dla pr<70>dko<6B>ci 30, 31, ..., 50", pch = 16,
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xlim = c(0, 50), ylim = c(-50, 200))
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abline(model_1, col = "green", lwd = 2)
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points(30:50, pred_30_50_1[, 1], col = "blue", pch = 16)
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temp_speed <- data.frame(speed = seq(-5, 55, length = 100))
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pred_1 <- stats::predict(model_1, temp_speed, interval = "prediction")
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lines(temp_speed$speed, pred_1[, 2], lty = 2, col = "green")
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lines(temp_speed$speed, pred_1[, 3], lty = 2, col = "green")
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summary(model_1)
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braking_1 <- braking[-27, ]
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model_1 <- lm(distance ~ speed, data = braking_1)
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summary(model_1)
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median(residuals(model_1))
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