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4.5 <br />-Historical Precipitation Data <br />-Predicted Data using Monthly Linear Regression <br />4 <br />0 <br />. <br />3 <br />5 <br />. <br />3 <br />0 <br />. <br />2.5 <br />a <br />L <br />V <br />C <br />2 <br />0 <br />. <br />1 <br />5 <br />. <br />1 <br />0 <br />. <br />0 <br />5 <br />. <br />0 <br />0 <br />. <br />hO h~ ~` hO h$ 60 6~ 6k 60 6$ '10 '1`L '1R '1C~ '1'b $O $`L 'bD` 00 $`b 00 O`L OR 00 O'b 00 O'L <br />^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ^0 ~O ~O <br />Figure 4 - Walden Precipitation Historical Data versus <br />Predicted Data from Monthly Linear Regression with Spicer <br />2.2 Frost Dates <br />Regression of annual frost dates with data from a nearby climate station provided moderate to <br />poor correlations. Generally, a portion of the data from a dependent station would correlate very <br />well to the concurrent independent data. Several outlying data points, however, would skew the <br />trend line producing filled results that are not consistent with the original data. An example of <br />this is shown in Figure 5. <br />Task 53_2.doc 9 of 17 <br />