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## Statistics

How to find the correlation coefficient.

Bicycle helmet use. Table lists data from a cross-sectional survey of bicycle safety. The explanatory variable is a measure of neighbourhood socioeconomic status (variable_RFM). The response variable is percent of bicycle riders wearing a helmet (P_Helm).

Percent of school children getting free or reduced-fee lunches at school (variable P_RFM) and percent of bicycle riders wearing a helmet (variable P_HELM). Data for this research 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

Compute r for all 13 data points. Define the correlation strength.

Statistics and Probability, Statistics

• Category:- Statistics and Probability
• Reference No.:- M923294

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