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Answer:
When given a set of data, we can use our graphing calculator to generate the quadratic regression equation. This is the equation that best fits a set of data, using a quadratic model.
Step-by-step explanation:
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The things which are necessary to know in order to solve problems involving quadratic regression are data, correlation coefficient and quadratic equation.
What is quadratic regression?
The quadratic regression is the statistical process which is used to obtain the equation of parabola, to represent the data set in the most appropriate way.
The things which are necessary to know in order to solve problems involving quadratic regression are listed below.
- The most important thing for approaching quadratic regression problem is visualize the data.
- Make a proper table with x and y values with the data. These values should form a parabola for the quadratic regression.
- Find the correlation coefficient. The closer the value of correlation coefficient to 1, the data good fit into the quadratic equation.
- Least square method is the best way to solve the problems involving quadratic regression.
Thus, the things which are necessary to know in order to solve problems involving quadratic regression are data, correlation coefficient and quadratic equation.
Learn more about the quadratic regression here;
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