Yes. You need at least three points with x and y coordinates for this.
Let the points be: A(x1, y1), B(x2, y2) and C(x3, y3).
For each of the points yi = ax2i + bxi + c,
so you have to solve a set of simultaneous equations for i=1 ... 3(the y's and x's are no longer variables! the a, b, c are!):
y1 = ax21 + bx1 + c,
y2 = ax22 + bx2 + c,
y3 = ax23 + bx3 + c
LinearIn a linear model, the plotted data follows a straight line. Every data point may not fall on the line, but a line best approximates the overall shape of the data. You can describe every linear model with an equation of the following form:y = mx + bIn this equation, the letter "m" describes the angle, or "slope," of the line. The "x" describes any chosen value on the horizontal axis, while the "y" describes the number on the vertical axis that corresponds to the chosen "x" value.QuadraticIn a quadratic model, the data best fits a different type of curve that mathematicians call quadratic. Quadratic models have a curved shape that resembles the letter "u." You can describe all quadratic models with an equation of the form:Y = ax^2 + bx + cAs with linear models, the "x" corresponds to a chosen value on the horizontal axis and "y" gives the correlating value on the vertical axis. The letters "a," "b" and "c" represent any number, i.e., they will vary from equation to equation
Actually, two separate points are enough to determine the line.
true
There are many ways, but probably you aren't in a statistics class, but in an algebra class. Step 1 plot all the data points on a coordinate plane graph (x-y graph) Step 2 estimate a line 'close' to points. Step 3 use 2 points ON THE LINE (these do not need to be data points) Step 4 find slope of line using points from step 3 Step 5 use point-slope formula to write the equation.
the average
A data series is a collection of data, most likely numbers, that you would use to graph or solve an equation.
In order to solve an "Inch Pound Equation", you must use information provided on a truck's data plate.
To determine the equation that models the data in the table with the variables ( d ) (number of days) and ( c ) (cost), you would typically look for a linear relationship of the form ( c = md + b ), where ( m ) is the slope and ( b ) is the y-intercept. By analyzing the data points in the table, you can calculate the slope using the change in cost divided by the change in days between two points. Once you have the slope, you can use one of the data points to solve for the y-intercept, allowing you to construct the complete linear equation.
-1.5
LinearIn a linear model, the plotted data follows a straight line. Every data point may not fall on the line, but a line best approximates the overall shape of the data. You can describe every linear model with an equation of the following form:y = mx + bIn this equation, the letter "m" describes the angle, or "slope," of the line. The "x" describes any chosen value on the horizontal axis, while the "y" describes the number on the vertical axis that corresponds to the chosen "x" value.QuadraticIn a quadratic model, the data best fits a different type of curve that mathematicians call quadratic. Quadratic models have a curved shape that resembles the letter "u." You can describe all quadratic models with an equation of the form:Y = ax^2 + bx + cAs with linear models, the "x" corresponds to a chosen value on the horizontal axis and "y" gives the correlating value on the vertical axis. The letters "a," "b" and "c" represent any number, i.e., they will vary from equation to equation
Law of motion is quadratic equation and is use in calculate of object trajectory. Fluid dynamic for sizing of pump is also second order equation. Quadratic equation or higher may use to fit equation for fast calculation of result. Example on vapour density equation for the use of evaporative mass transfer. We do need to know how much water air can take. It could use the data from table but the work will be lengthly. We can make data in the table a form of polynomial equation and so put it into program for calculated out this require vapour density.
If you had a formula you would plug numbers in for the variables and solve for the other variables create a list of coordinates (data points). Next you would graph those points and connect the dots.
Actually, two separate points are enough to determine the line.
true
When obtaining the slope of a line, particularly in the context of a linear equation, you can derive the slope directly from the equation itself without needing specific data points. The slope is defined as the ratio of the change in the vertical direction (rise) to the change in the horizontal direction (run), which can be identified from the equation in the form (y = mx + b), where (m) represents the slope. However, using data points can help visualize or confirm the slope if the line represents empirical data.
A graph is more informative than an equation because a graph is easier to interpret visually, and find all the points and line them up, rather than just a slope which shows no points(data).
To determine why the equation is not the line of best fit for the given data set, we would need to analyze the residuals and overall fit of the model. If the residuals display a systematic pattern or if the equation fails to minimize the sum of squared differences between the observed data points and the predicted values, it indicates that the equation does not accurately represent the trend in the data. Additionally, if the correlation coefficient is low, it suggests a weak relationship between the variables, further indicating that the equation is not an appropriate line of best fit.