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Which quadratic regression equation best fits the data set?

x y
0 31
1 29
2 28
4 22
6 19
10 11
11 8

Answers:

yˆ=31.179x^2+2.051x−0.002

yˆ=−0.002x^2−2.051x−31.179

yˆ=−0.002x^2−2.051x+31.179

yˆ=31.179x^2−2.051x−0.002

Respuesta :

kevmo38

The third equation is correct. The easiest way to solve a problem like this is to plug the x-values from the chart into the equations and see which one equals the y-value in the chart.

The third equation is correct. The easiest way to solve a problem like this is to plug the x-values from the chart into the equations and see which one equals the y-value in the chart.

What is a quadratic regression model?

Secondary regression is a statistical technique used to find the parabolic equation that best fits the dataset. This type of regression is an extension of simple linear regression and is used to find the best linear equation for your dataset.

December 17, 2021, Second-order regression is the process of determining the optimal parabolic equation for a set of files. This dataset is a set of specific plot points that form the shape of a parabola. The parabolic equation is y = ax2 + bx + c, where a never becomes zero.

Learn more about quadratic regression equation here: https://brainly.com/question/17018837

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