Quadratic term's relationships

In summary, the equation of a parabola in the form ##y=ax^2+bx+c## can be used to determine the shape, center, and y-intercept of the parabola. The coefficient of ##x^2## determines the "zoom" or shape of the parabola, while the coefficient of x determines the center of the parabola. The constant term determines the y-intercept. The relationship between the coefficients of ##x^2## and x can be understood through the process of completing the square. In terms of kinematics, the centerline of the parabola occurs when the velocity is zero, which can be found by taking the derivative of the position function.
  • #1
thetexan
269
11
I know everyone here must know this but it is a new revelation to me and very interesting. But I have a question about the reason behind the following...

Take ##x^2+10x+10## for example.

Any coefficient of ##x^2## modifies the "zoom" of the parabola, for lack of a better word, and determines whether it is a "up" parabola or "down" parabola.

The x term and it's coefficient determines the center of the parabola. The center is always 1/2 of the inverse of the coefficient. For example 10x results in a centerline of -5.

The constant gives the y intercept.

The x2 coefficient is related to the x coefficient in this respect...the parabola centerline at x will always be 1/2 of inverse of the x coefficient divided by the coefficient of the ##x^2## coefficient!

For example...

##2x^2 + 60x + 20## results in...

1. a y intercept of 20
2. a parabola centerline of ##( (+60/2)*-1) / 2 ## or -15

I'm trying to understand why this should be. Why or how does the ##x^2## coefficient of 2 have any relationship with the x coefficient of 60 such that the two together determine the parabola centerline?

Any insights would be appreciated.

Thanks,
tex
 
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  • #2
$$
y=2x^2 + 60x + 20 = 2(x^2+30x+225)+20-450 = 2(x+15)^2-430$$
This is a parabola resulting from a translation of a centered parabola ##y=2x^2## to the left by 15 and then down by 430.
 
  • #3
Perhaps most simply:

##2x^2 + 60x + 20 = 2(x^2 +30x + 10)##

This graph on the left is twice the height of the graph on the right at every point. So, it has a different shape, twice the y intercept but the same centre line.

I mean of course twice the function in the brackets on the right!
 
  • #4
blue_leaf77 said:
$$
y=2x^2 + 60x + 20 = 2(x^2+30x+225)+20-450 = 2(x+15)^2-430$$
This is a parabola resulting from a translation of a centered parabola ##y=2x^2## to the left by 15 and then down by 430.
Understanding the general form and the standard form for the equation of a parabola is very important and useful. The process of Completing the Square is how you change from the general form to the standard form. The standard form equation is easier to graph.
 
  • #5
Here's a kinematic way to think about things:

##y=\frac{1}{2}a_0t^2+v_0t+y_0,##
where ##a_0## is the [initial and constant] acceleration, ##v_0## is the initial velocity (##v## when ##t=0##), and ##y_0## is the initial position.

On a position-vs-time graph,
##y_0## is the y-intercept (where ##t=0##)
##v_0## is the slope at the y-intercept (based on the derivative taken below).

The centerline occurs when the slope of the graph is zero.
Physically, that is when the velocity is zero.
By taking the derivative with respect to time, we obtain the velocity function
##v\equiv\frac{dy}{dt}=a_0t+v_0##
and asking for the value of ##t## that makes this zero is: ##t_{when\ v=0}=-\frac{v_0}{a_0}##.

Based on your example, ##y=2t^2 + 60t + 20##
##a_0=4## and ##v_0=60##
so ##t_{when\ v=0}=-\frac{60}{4}=-15##.
 

Related to Quadratic term's relationships

1. What is a quadratic term and how is it used in data analysis?

A quadratic term is a mathematical expression that includes a variable raised to the second power. In data analysis, it is used to model non-linear relationships between two variables. It is often added to a linear regression model to account for curvature in the data.

2. How do you interpret the coefficient of a quadratic term in a regression model?

The coefficient of a quadratic term represents the change in the slope of the relationship between the two variables. If the coefficient is positive, it indicates an upward curvature in the data, while a negative coefficient indicates a downward curvature. The larger the coefficient, the steeper the curvature in the relationship.

3. Can a quadratic term be used for categorical variables?

No, a quadratic term is typically used for continuous variables. It is not meaningful to raise a categorical variable to a power as they do not have a numerical value. Instead, dummy variables can be used to represent categorical variables in a regression model.

4. How do you determine if a quadratic term is necessary in a regression model?

A visual inspection of the data can often reveal if a quadratic term is necessary. If there is a noticeable curvature in the relationship between the variables, then a quadratic term may be needed. Additionally, statistical tests such as the F-test or the Akaike information criterion (AIC) can help determine if adding a quadratic term significantly improves the fit of the model.

5. Are there any assumptions or limitations when using a quadratic term in a regression model?

One assumption is that the relationship between the variables is non-linear. If the relationship is linear, adding a quadratic term may not improve the model. Additionally, using higher order terms (e.g. cubic, quartic) can lead to overfitting, so it is important to carefully consider the best functional form for the data.

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