Example 11.10: It is important that scientific researchers in the area of forest products be able to study correlation among the anatomy and mechanical properties of trees. For the study Quantitative...


Example 11.10: It is important that scientific researchers in the area of forest products be able to study correlation among the anatomy and mechanical properties of trees. For the study Quantitative Anatomical Characteristics of Plantation Grown Loblolly Pine (Pinus Taeda L.) and Cottonwood (Populus deltoides Bart. Ex Marsh.) and Their Relationships to Mechanical Properties, conducted by the Department of Forestry and Forest Products at Virginia Tech, 29 loblolly pines were randomly selected for investigation. Table 11.9 shows the resulting data on the specific gravity in grams/cm3 and the modulus of rupture in kilopascals (kPa). Compute and interpret the sample correlation coefficient.


Table 11.9: Data on 29 Loblolly Pines for Example












































































































Specific Gravity,



Modulus of Rupture,



Specific Gravity,



Modulus of Rupture,



x (g/cm3)



y (kPa)



x (g/cm3)



y (kPa)



0.414



29,186



0.581



85,156



0.383



29,266



0.557



69,571



0.399



26,215



0.550



84,160



0.402



30,162



0.531



73,466



0.442



38,867



0.550



78,610



0.422



37,831



0.556



67,657



0.466



44,576



0.523



74,017



0.500



46,097



0.602



87,291



0.514



59,698



0.569



86,836



0.530



67,705



0.544



82,540



0.569



66,088



0.557



81,699



0.558



78,486



0.530



82,096



0.577



89,869



0.547



75,657



0.572



77,369



0.585



80,490



0.548



67,095







For the data of Example 11.10, test the hypothesis that there is no linear association among the variables.



May 25, 2022
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