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Linear regression analysis hypothesis formulation

Formulate a hypothesis statement regarding your research issue.
Perform a regression hypothesis test on the data.

Assume the number of games won is the dependent variable and attendance the independent variable. Can we conclude that the correlation between these two variables is greater than 0? Use the .05 significance level.

Be sure to include your raw data tables and the results of your computations using both graphical and tabular methods of displaying data and results.
X1 X7 X8

Team Wins Attendance
Boston 95.0 2,847,798
Yankees 95.0 4,090,440
Oakland 88.0 2,108,818
Baltimore 74.0 2,623,904
Angels 95.0 3,404,636
Cleveland 93.0 2,014,220
White Sox 99.0 2,342,804
Toronto 80.0 2,014,995
Minnesota 83.0 2,034,243
T Bay 67.0 1,141,915
Texas 79.0 2,525,259
Detroit 71.0 2,024,505
Seattle 69.0 2,724,859
Kan City 56.0 1,371,181
Atlanta 90.0 2,520,904
Arizona 77.0 2,059,327
Houston 89.0 2,805,060
Cincinnati 73.0 1,923,254
Mets 83.0 2,827,549
Pittsburgh 67.0 1,817,245
Dodgers 71.0 3,603,680
San Diego 82.0 2,869,787
Wash 81.0 2,730,352
San Fran 75.0 3,181,020
St Louis 100.0 3,542,271
Florida 83.0 1,852,608
Phil 88.0 2,665,304
Milwaukee 81.0 2,211,323
Chic Cubs 79.0 3,100,092
Colorado 67.0 1,914,385

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Solution Summary

The solution formulates a hypothesis for a linear regression analysis. The expert preforms a regression hypothesis test on the data provided.

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