A Distância Que Nos Separa Pdf
Start by creating a new data frame containing, for example, three new speed values: <- ( speed = c(12, 19, 24)) You can predict the corresponding stopping distances using the R function predict() as follow: predict(model, newdata =) ## 1 2 3 ## 29. 6 57. 1 76. 8 Confidence interval The confidence interval reflects the uncertainty around the mean predictions. To display the 95% confidence intervals around the mean the predictions, specify the option interval = "confidence": predict(model, newdata =, interval = "confidence") ## fit lwr upr ## 1 29. 6 24. 4 34. 8 ## 2 57. 1 51. 8 62. 4 ## 3 76. 8 68. 4 85. 2 The output contains the following columns: fit: the predicted sale values for the three new advertising budget lwr and upr: the lower and the upper confidence limits for the expected values, respectively. By default the function produces the 95% confidence limits. For example, the 95% confidence interval associated with a speed of 19 is (51. 83, 62. 44). This means that, according to our model, a car with a speed of 19 mph has, on average, a stopping distance ranging between 51.
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