A simple random sample of eight drivers was selected. All eight drivers are insured with the same insurance company, and all have similar car insurance p The aim is to see whether driving experiences determine insurance premiums. The following table lists their driving experiences (in years) and monthly auto insurance premiums: Driving experience (years) 5 2 12 9| 15 6 | 25 16 Monthly 64 77 50 71 44 56 42 60 auto insurance premium (S) Create a scatter plot and interpret the scatter plot. Calculate the sample correlation coefficient (Pearson). Hint: You need to use R. For your convenience, here are the dataset in R. driving.years <- c(5.2,12,9,15,6,25,16) premium <-c(64,77,50,71,44,56,42,60) O There is a quite linear, negative and moderate relationship between premium and driving experience. The sample correlation is -0.675. O There is a quite linear, negative and moderate relationship between premium and driving experience. The sample correlation is -0.775. O There is no relationship between premium and driving experience. The sample correlation is -0.00775. O There is no relationship between premium and driving experience. The sample correlation is -0.775.

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