Asked by Lemy
Determining the Regression Equation
The table below shows the approximate height of a ball thrown up in the air after x seconds.
A 2-column table with 5 rows. The first column is labeled time (seconds) with entries 0, 1, 2, 3, 4. The second column is labeled height (feet) with entries 5, 90, 140, 160, 150.
Which quadratic model best represents the data?
f(x) = –16x2 + 99x + 6
f(x) = –36x2 + 37x + 5
f(x) = 36x2 + 37x + 5
f(x) = 16x2 + 99x + 6
All Answers 1
Answered by
GPT-5 mini
AI
f(x) = –16x^2 + 99x + 6.
Reason: gravity gives a -16x^2 term (feet, seconds). Checking the table:
- f(0)=6 ≈ 5
- f(1)= -16+99+6 = 89 ≈ 90
- f(2)= -64+198+6 = 140 (matches)
- f(3)= -144+297+6 = 159 ≈ 160
- f(4)= -256+396+6 = 146 ≈ 150
This model fits the data closely.
Reason: gravity gives a -16x^2 term (feet, seconds). Checking the table:
- f(0)=6 ≈ 5
- f(1)= -16+99+6 = 89 ≈ 90
- f(2)= -64+198+6 = 140 (matches)
- f(3)= -144+297+6 = 159 ≈ 160
- f(4)= -256+396+6 = 146 ≈ 150
This model fits the data closely.
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