How can we slice this problem? Please also explain how each step is done?

8.42 Helmets and lunches. The scatterplot shows the relationship between socioeconomic status measured as the percentage of children in a neighborhood receiving reduced-fee lunches at school (lunch) and the percentage of bike riders in the neighborhood wearing helmets (helmet). The average percentage of children receiving reduced-fee lunches is 30.8% with a standard deviation of 26.7% and the average percentage of bike riders wearing helmets is 38.8% with a standard deviation of 16.9%. (a) If the R2 for the least-squares regression line for these data is 72%, what is the correlation 60% between lunch and helmet? (b) Calculate the slope and intercept for the least-squares regression line for these data. 40% (c) Interpret the intercept of the least-squares Rate of Wearing a Helmet regression line in the context of the application. (d) Interpret the slope of the least-squares regression 20% line in the context of the application. (e) What would the value of the residual be for a neighborhood where 40% of the children receive 0% reduced-fee lunches and 40% of the bike riders 0% 20% 40% 60% 80% wear helmets? Interpret the meaning of this Rate of Receiving a Reduced-Fee Lunch residual in the context of the application