E. At the 0.05 level of significance, is there evidence of a linear relationship between the number of wins and the ERA?

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E. At the 0.05 level of significance, is there evidence of a linear relationship between the number of wins and the ERA?

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E At The 0 05 Level Of Significance Is There Evidence Of A Linear Relationship Between The Number Of Wins And The Era 1
E At The 0 05 Level Of Significance Is There Evidence Of A Linear Relationship Between The Number Of Wins And The Era 1 (83.5 KiB) Viewed 32 times
E. At the 0.05 level of significance, is there evidence of a linear relationship between the number of wins and the ERA? F. Construct a 95% confidence interval estimate of the mean number of wins expected for teams with an ERA of 4.50. G. Construct a 95% prediction interval of the number of wins for an individual team that has an ERA of 4.50. H. Construct a 95% confidence interval estimate of the population slope.
Team Baltimore Boston Chicago White Sox Cleveland Detroit Houston Kansas City Los Angeles Angels Minnesota New York Yankees Oakland Seattle Tampa Bay Texas Toronto Arizona Atlanta Chicago Cubs Cincinnati Colorado Los Angeles Dodgers Miami Milwaukee New York Mets Philadelphia Pittsburgh San Diego San Francisco St. Louis Washington E.R.A. 3.66 4.41 4.68 4.03 4.35 4.46 3.85 3.89 4.80 4.10 3.53 3.42 3.86 4.77 4.23 4.58 3.69 4.36 3.78 5.05 3.81 4.16 4.06 3.81 4.24 3.90 3.56 3.79 3.72 3.43 Wins 98 71 73 85 90 70 89 98 70 84 88 87 77 67 83 64 79 73 76 66 94 77 82 79 73 88 77 88 90 96
Part E Part F Part G Null Hypothesis Part H Alternative Hypothesis Test Statistic Value Is there evidence of a linear relationship? Confidence Interval of the mean Lower Confidence Interval of the mean Upper Confidence Interval of the indiividual Lower Confidence Interval of the individual Upper Confidence Interval of the slope Lower Confidence Interval of the slope Upper
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