Quadratic functions Line of best fit

Front

Equation corresponding to the values in the table: y = 4 - x, y = 4 - x², y = x² - 4, y = -2x - 1

Back

y = x² - 4

Front

Predict the braking distance at 70mph using a quadratic model based on the table of average braking distances at various speeds.

Back

245 ft

Front

Calculate the quadratic regression function for this table of values to the nearest tenth.

Back

f(x) =
2.1x² - 8.6x + 10.1

Front

Equation that best fits the data: {(-15, 53.5), (-14, 28), (-3, 18), (0, 4), (6, 27), (14, 50)}

Back

y = .17x²+.45x+12.43

Front

Match the table with the correct equation: x | y -5 | 12 -4 | 11 0 | 9 2 | 15 3 | 25 Options: y = -.08x² + 5.94x +28.80, y = -1.2x² + 3.2x +3.2, y = 0.5x +9 , y = 0.7 x² + 2.7x +8.7

Back

y = 0.7 x² + 2.7x +8.7

Front

Match the table with the correct equation:
x | y -1.5 | 12 -1 | 25 -0.5 | 35 2.7 | 38 4.8| 58

Back

y = -.08x² + 5.94x +28.80

Front

Using the quadratic curve of best fit, find the height of the ball when it traveled a distance of 10 feet.

Back

13.3 ft

Front

Match each coefficient in the equation y = x² +5x +7 with its correct letter.

Back

a=1, b=5, c=7

Front

Find the best fitting quadratic model for the data given.

Back

y = 1.2x² + 13x + 504.3

Front

Calculate the Curve of Best Fit for this table of values:
Options: y = 2x² - 9x + 10, y = 3x² + 9x - 10, y = 3.1x² - 9.2x - 10.3, y = 2.1x² - 8.6x + 10.1

Back

y = 2.1x² - 8.6x + 10.1