Twenty students volunteered to take a fitness test. The computer output below is a regression analysis of the relationsh
Posted: Mon May 02, 2022 10:16 am
Twenty students volunteered to take a fitness test. The computer
output below is a regression analysis of
the relationship between x = how fast they can run a
mile (in mph) and y = how high they can jump (in
Twenty students volunteered to take a fitness test. The computer output below is a regression analysis of the relationship between x = how fast they can run a mile (in mph) and y= how high they can jump (in inches). T P *** * Predictor Constant Speed Coef 9.71 2.228 SE Coef 3.49 1.540 *** *** S = 1.438 R-Sq = 97.9% R-Sq (adj) = 97.88 (1) We want to know if there is convincing evidence of a positive linear relationship between speed (mph) and jump height (in) for students like these. What is the P-value of this test?
2) Using context, interpret the meaning of the P-value you found. 3) The power of the test when ß = 4 is 0.83. Using context, interpret this value.
output below is a regression analysis of
the relationship between x = how fast they can run a
mile (in mph) and y = how high they can jump (in
Twenty students volunteered to take a fitness test. The computer output below is a regression analysis of the relationship between x = how fast they can run a mile (in mph) and y= how high they can jump (in inches). T P *** * Predictor Constant Speed Coef 9.71 2.228 SE Coef 3.49 1.540 *** *** S = 1.438 R-Sq = 97.9% R-Sq (adj) = 97.88 (1) We want to know if there is convincing evidence of a positive linear relationship between speed (mph) and jump height (in) for students like these. What is the P-value of this test?
2) Using context, interpret the meaning of the P-value you found. 3) The power of the test when ß = 4 is 0.83. Using context, interpret this value.