Linear Regression

RUNNING HEAD: LINEAR REGRESSION Linear reverse April 2, 2012 Baseball has been an American pastime for many years. One composition of discussion has been the kind among the number of errors made by the opposing team up and the number of runs scored by the firm team. The data set provided by University of Phoenix (2008) provides information on 30 Major unite Baseball teams in the linked States. The value of the sample coefficient of correlation coefficient relating the variables ERA and Errors was .56. Team C wishes to test for a noteworthy linear relationship between the two variables by doing a hypothesis test and coiffure a test of the people correlation coefficient. [pic][pic][pic] Data fit(p): |ERA |Error | |4.74 |109 | |4.52 |95 | |3.69 |88 | |4.56 |107 | |3. 68 |87 | |3.61 |106 | |3.61 |94 | |4.06 |95 | |3.71 |102 | |5.39 |124 | |4.96 |108 | |4.51 |110 | |4.49 |86 | |5.49 |125 | |3.98 |86 | |4.84 |94 | |3.51 |89 | |5.15 |104 | |3.

76 |106 | |4.42 |117 | |4.38 |106 | |4.13 ! |109 | |3.87 |92 | |4.33 |90 | |3.49 |100 | |4.16 |103 | |4.21 |90 | |3.97 |119 | |4.19 |101 | |5.13 |118 | [pic] Regression Hypothesis test In a regression test, there are two things the team wished to understand. scratch was the correlation coefficient. By calculating this value it entrust let the team understand how well the two variables correspond with each other. In...If you want to get a full essay, set aside it on our website: OrderCustomPaper.com

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