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Justin Tucker, the kicker for the Baltimore Ravens, is considered one of the greatest kickers in NFL...

1. Justin Tucker, the kicker for the Baltimore Ravens, is considered one of the greatest kickers in NFL history. On a recent kickoff, the height of the ball, in meters, was measured for selected times. This data is shown in the table above.
a) Based on this situation and the data presented in the table, would a linear, quadratic, or cubic function be most appropriate to model this data? Give a reason for your answer.
b) Find the appropriate regression function to model these data.
c) Using the model found in part b, what is the predicted height of the football, in meters, at time t = 1.3 seconds?
2. The price of Amazon stock fluctuates over time. On December 6, 2019, one share of Amazon stock was $87.58. The table above gives the price of one share of Amazon stock, in dollars, for selected times t, the number of months after December 6, 2019.
a) Based on the data presented in the table, would a linear, quadratic, or cubic function be most appropriate to model this data? Give a reason for your answer.
b) Find the appropriate regression function to model these data.
c) Using the model found in part b, what is the predicted price of one share of Amazon stock when t = 16 months (April 6, 2021)?
d) The actual price for one share of Amazon stock on April 6, 2021 (t = 16) was $168.61. What is the residual for this value?

Answer

  1. a) A quadratic function would be most appropriate to model the data because the height of a projectile typically follows a parabolic path due to gravity.
  2. b) The appropriate regression function is a quadratic equation of the form H(t) = at² + bt + c. Using the data, the coefficients can be calculated using regression analysis.
  3. c) Using the quadratic model found in part b, substitute t = 1.3 into the equation to find the predicted height.
  4. a) A quadratic function would be most appropriate to model the data because the stock price initially increases and then decreases, suggesting a parabolic trend.
  5. b) The appropriate regression function is a quadratic equation of the form A(t) = at² + bt + c. Using the data, the coefficients can be calculated using regression analysis.
  6. c) Using the quadratic model found in part b, substitute t = 16 into the equation to find the predicted price.
  7. d) The residual is the difference between the actual price and the predicted price from the model. Residual = Actual price - Predicted price.

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