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 and the percentage of bike riders in the neighborhood wearing helmets.
% Recieving reduced lunch % Wearing helmets
6 39
3 64
15 34
21 24
20 57
18 33
38 50
33 40
52 32
43 33
80 12
75 12
(a) Compute the correlation coefficient between rates of receiving reduced lunch (as a percentage) and rates of helmet wear (as a percentage). r= .
(b) The correlation between receiving reduced lunch and wearing helmets is .
(c) Compute r2: .
(d) What proportion of the response variable may be explained by the explanatory variable ? .
(e) Compute the regression line. y= x+ .
(f) According to our model, if a neighborhood had 35% children receiving reduced lunch, the percentage wearing helmets would be %.
(g) According to our model, if the percentage of children in a neighborhood wearing helmets is 35%, the percentage who receive reduced lunch would be %
.
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