Write the equation and graph it. C. Find the exponential regression model. Write the equation and graph it. D. Which of the two models, linear or exponential seems to fit the data better? Why? 3. A ball was thrown upward from an initial height of 15 m and the height of the ball was recorded every 0.5 seconds. The table shows the height h in meters t seconds after the ball was thrown (Func, Stat, & Trig, p. 119.) A. Sketch a scatterplot of the data. B. Explain why neither a linear nor an exponential model fits these data. C. What type of curve do the points seem to lie on? D. Find the feature quadratic regression and use it to find an equation to model this data. State the equation. E. What is the correlation coefficient for this model? F. Plot the equation found in part (d) on the scatter plot. G. The error is the difference between observed and predicted values. Find the error in the quadratic regression model when t = 2. h. Use <TRACE> to find the time(s) when the ball
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