A question gives four rows of data and asks which equation fits them. Another asks what the slope of a fitted line means, and a third asks for the value of a constant that makes a line touch a parabola exactly once. The built-in graphing calculator can help with all three, through tables, regressions and sliders. Each tool gives evidence on a screen, and the answer still rests on the mathematics behind it.
See also Variables, Parameters, and Building a Model in Foundations for Calculus.
Key terms
Test-mode calculator
Definition In the current format of the digital SAT, the Desmos graphing calculator is built into the testing app. The version in the testing app may not include every feature of the classroom or website version. If the app also offers a scientific calculator mode, do not count on entries typed in one mode being available in the other. The features to rely on are the ones you have actually used in the official practice tests in the testing app.
In plain words Practice on the same calculator you will see on test day. Do not plan around a feature you have only seen elsewhere.
Example Suppose you define in the graphing calculator. Typing on a new line there shows . If you switch to a scientific mode, plan to type directly rather than expecting to be defined there.
Table
Definition A table in Desmos is a list of ordered pairs entered in columns, and each row is plotted as a point. In a new table the columns are named and by default, and a regression refers to the data by these names. A table of values of a function lists inputs and the matching outputs . A function fits a table exactly when holds in every row, which you can confirm by substitution.
In plain words A table is data you can see as dots. A proposed equation fits when its graph passes through every dot and the arithmetic checks in every row.
Example The table below has inputs that step by and outputs that step by .
The slope is and the value at is , so . Graphing it over the plotted points shows every dot on the line, and substitution confirms it, since and so on for each row.
Model
Definition A model is a function, usually with numerical constants, used to describe how one quantity depends on another, such as a linear model or an exponential model with , and . A model can fit some data exactly, or only approximately when the data are noisy measurements. Its predictions are most trustworthy within the range of the data used to build it.
In plain words A model is a formula that stands in for a real situation. Good models describe the data well, but they are still simplifications.
Example A savings account starts at dollars and grows by each year, so a model for its value after years is
After years the model gives dollars.
Coefficient
Definition A coefficient is a constant number multiplying a variable or a power of a variable in an expression. In a model each coefficient has a meaning in context. In , the coefficient is the change in for each increase of in , and the constant term is the value of when . In , the coefficient is the value at and is the factor by which is multiplied each time increases by .
In plain words Each number in a model tells a story about the situation. Say that story with units.
Example A plant’s height is modeled by centimeters after weeks. The coefficient means the model predicts growth of centimeters per week, and means a predicted height of centimeters at the start, when .
Regression
Definition A regression finds the model of a chosen form that fits a set of data points best by a fixed rule. For a linear regression the rule is least squares, which chooses and to make the sum of the squared vertical distances from the points to the line as small as possible. In Desmos you enter the data in a table and type a line such as
with the tilde symbol in place of the equals sign. Desmos then shows the fitted values of the constants. For noisy data, regression coefficients are estimates, and a fitted model does not prove that its form is the true relationship.
In plain words A regression draws the best line or curve of the kind you ask for. It does not tell you that this kind of curve is the right one, and its numbers are estimates.
Example For the data , , , and , a linear regression gives and , so
The model predicts about at , a value outside the data, so that prediction carries more risk than one inside the data range. The points lie close to the line, but no single point needs to lie on it.
Parameter
Definition A parameter is a constant in a formula that can take different values, where each value gives a different function or equation from the same family. In the variable is , and is a parameter. A question with a parameter usually asks which value of the parameter produces some exact property, such as one solution, no solution or a given intercept.
In plain words A parameter is a number you have not chosen yet. Changing it moves or reshapes the whole graph.
Example In , the value gives zeros at , the value gives a single zero at , and the value gives no real zeros. The parameter decides how many zeros there are.
Slider
Definition In Desmos, when you type an expression that uses a letter with no value yet, such as in , the calculator offers to add a slider for it. A slider lets you change the value of that letter by dragging and watch the graph respond. A slider shows numbers to limited precision, so it can suggest an exact parameter value but does not prove it. The exact value comes from algebra.
In plain words A slider lets you try many parameter values quickly. Use it to see what is happening, then solve for the exact value.
Example For which value of does the line meet the parabola at exactly one point? Dragging a slider for shows the parabola just touching the line near . Algebra makes it exact. Setting gives , which has exactly one real solution when the discriminant is zero,
so , and the single point is .
Check yourself
- Which equation fits every row of the table with values , , and and values , , and ? (A) (B) (C) (D)
Show the answer
The correct choice is (B). The output rises by for every increase of in , so the slope is , and the row gives the intercept . Each row checks, for example . Choice (A) takes the change per row as the slope without dividing by the step of . Choice (C) swaps the slope and intercept, and (D) fails at , where it gives .
- A scientist fits the model to measurements of a plant’s height , in centimeters, after weeks. Which statement is the best interpretation of ? (A) The plant was centimeters tall when measurements began. (B) The model predicts that the plant grows about centimeters each week. (C) The plant grew exactly centimeters every week. (D) The model predicts the plant reaches meters.
Show the answer
The correct choice is (B). The coefficient of is the predicted change in height per week. Choice (A) describes the constant . Choice (C) treats an estimate from noisy data as an exact fact about every week. Choice (D) confuses the units and the role of the number.
- The line intersects the parabola at exactly one point. What is the value of ?
Show the answer
The answer is . Setting gives . Exactly one real solution means the discriminant is zero, so and . The single point is . A slider for shows the line touching the parabola near , and the discriminant shows the value is exactly . Entering is the sign slip to avoid.