Construct a scatter diagram and interpret.

Bicycle helmet use. Table1lists data from a cross-sectional survey of bicycle safety. The explanatory variable is a measure of neighborhood socioeconomic status (variable RFM). The response variable is "percent of bicycle riders wearing a helmet" (P Helm).

Percent of school children receiving free or reduced-fee lunches at school (variable P_RFM) and percent of bicycle riders wearing a helmet (variable P_HELM). Data for this study was recorded by field observers in October of 1994.
I (i) School P_RFM P-HELM

1 Fair Oaks 50 22.1
2 Strandwood 11 35.9
3 Walnut Acres 2 57.9
4 Disc Bay 19 22.2
5 Belshaw 26 42.4
6 Kennedy 73 5.8
7 Cassell 81 3.6
8 Miner 51 21.4
9 Sedgewick 11 55.2
10 Sakamoto 2 33.3
11 Toyon 19 32.4
12 Lietz 25 38.4
13 Los Arboles 84 46.6

Construct a scatterlpot of P_RFM and P_HELM. If drawing the plot by hand, use graph paper to ensure accuracy. Make sure you label the axes. After you have constructed the scatterplot, consider its form and direction. Identify outliers, if any.