Describe the correlation strength

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Reference no: EM1319079

Find out 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 receiving free or reduced-fee lunches at school (variable P_RFM) and percent of bicycle riders wearing a helmet (variable P_HELM). Data for the 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

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

Reference no: EM1319079

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Describe the correlation strength : 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"..

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