Use the following information to answer the question. A high school boys track and field coach performs a regression to predict the vault height (in feet)of a pole vault from the number of minutes of training in the previous week. The output is shown below. Assume that the conditions of the linear regression model hold.

-Suppose the coach's top pole vaulter trained for 175 minutes the previous week. If this athlete participates in the pole vault event, what is the coach's expected jump height for this athlete? Can he be reasonably confident that this athlete will beat the previous season's record of 19.8 feet? Explain.

Question

Use the following information to answer the question. A high school boys track and field coach performs a regression to predict the vault height (in feet)of a pole vault from the number of minutes of training in the previous week. The output is shown below. Assume that the conditions of the linear regression model hold.
 
-Suppose the coach's top pole vaulter trained for 175 minutes the previous week. If this athlete participates in the pole vault event, what is the coach's expected jump height for this athlete? Can he be reasonably confident that this athlete will beat the previous season's record of 19.8 feet? Explain.

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The Answer of Use the following information to answer the question. A high school boys track and field coach performs a regression to predict the vault height (in feet)of a pole vault from the number of minutes of training in the previous week. The output is shown below. Assume that the conditions of the linear regression model hold.
 
-Suppose the coach's top pole vaulter trained for 175 minutes the previous week. If this athlete participates in the pole vault event, what is the coach's expected jump height for this athlete? Can he be reasonably confident that this athlete will beat the previous season's record of 19.8 feet? Explain.

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