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2. [2/9 Points] DETAILS PREVIOUS ANSWERS SOWRECMATH3 31.2.5.001. MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER A track and field coach measured the stride rate of her top female runners for different speeds. The following table lists the average stride rate (steps per second) of these women versus the speed (ft/s). Speed (ft/s) 15.96 16.88 7.6 18.62 19.97 21.06 22.21 Stride rate 2.95 3.02 3.17 3.35 3.46 3.46 3.65 (a) Draw a scatter plot of the data. 40F y ory Speed (ft/s) Stride Rate (steps/s) Stride Rate (steps/s) Stride Rate (steps/s) 26 16 20 24 16 22 24 22 24 16 18 20 22 Stride Rate (steps/s) Speed (ft/s) Speed (ft/s) Speed (ft/s) (b) The linear regression equation for these data is y = 0.11x + 1.22 with RZ = 0.953. What does the R tell you about the equation and the data? The closer to one R approaches, the stronger a quadratic relationship is implied. The positive RZ value implies a positive slope. The closeness to one implies that every increase of one step per second increases speed by 0.11 ft/s. . The closeness to one implies a strong linear relationship. The closeness to one implies the distances from the trendline to the data points is significant. (c) Make a table showing the predictions of the stride rate using the regression equation above. (Round your answer to two decimal places.) Speed (ft/s) 15.96 16.88 17.6 18.62 19.97 21.06 22.21 Stride rate X