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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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