In: Statistics and Probability
The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? use alpha=0.05 weight,X 5960, 5330, 6500, 5100, 5890, 4800 variability in 1.79, 1.95, 1.89, 1.55, 1.65, 1.50 breaking distance,Y set up the hypothesis for the test H o: P=0 H a: P does not equal 0 Identify the critical value(s).
Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) Answer A or B A. negative t o = ____ and positive t o = ____ B. the critical value is ____. choose one and fill in blank with value ____. The Correct Answer was A. negative t o = -2.766 and positive t o = 2.766 You gave me as the Expert Answer of B. The critical value is .811 which was Incorrect.
My New Question is... Calculate the test statistic. t= ____ (Round to three decimal places as needed.) The answer was t= 1.564 which was correct <- this question is done the new one is under
New Question... There (Is/Is Not) enough evidence at the 5% level of significance to conclude that there (Is/Is Not) a significant linear correlation between vehicle weight and variability in braking distance on a dry surface. Choose 1 for each Is or Is Not. This is a 2 part question fill in the blanks with Is or Is Not.