Q1 Use the poly() function to fit polynomial regression to the above data. Use a range of different polynomial degrees and choose the best fitting degree by using the anova() function. (Recall that all models being used here are nested). Compute MSE for the best fitting model

You paid 28.00 for 8 gallons of gasoline. how much would you pay for 15 gallons of gasoline?

The mean finish time was 185.52 with a standard deviation of 0.327 minute. the winning car driven by chris finished in 185.13. the previous year race had a mean finish time of 110.3 with a standard deviation of 0.106. the winning car that year driven by karen finished in 110.13 minutes. find their respective z-scores. chris - z-score karen “- z-score

Simplify using positive exponents only.