Tamamlanmış

prediction

Manually set your working directory (from toolbar – Session), DO NOT hardcode the file

path.

 Only use the following code to read data from your local drive

data_independent <- [login to view URL](file = 'data - for student - independent [login to view URL]')

data_dependent <- [login to view URL](file = 'data - for student - dependent [login to view URL]')

y <- data_dependent$AmountWines

 Enter your name, such as:

first_name<-'Yan'

last_name<-'Lang'

 Assign “new_data”, lower-case, to represent all independent variables you decided to use

 Assign “model”, to represent your model’s name

 Assign “preds”, lower-case, to represent your y-predictions based on the results of your

model. If your data has 1500 rows, then you should see 1500 rows of predictions.

 write below code after calculating your predictions

rmse<- sqrt(mean((y - preds)^2))

 Combine, “first_name”, “last_name”, and “rmse” as one single csv output file, name the csv

file as: finaloutput

 At the end of your scripts, write the following code (this is for TA, when testing your code,

don’t run those lines.)

source("predictdata.R")

Beceriler: R Programlama Dili, İstatistik, Data Visualization

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