Math - 2019-20
A.9 - Line of Best Fit
A.9 The student will collect and analyze data, determine the equation of the line
curveof best fit in order to make predictions, and solve practical problems, using mathematical models of linear and quadratic functions.
- I can make accurate
predictions about future events, make millions of dollars, predict the end of
the world, and always cheer for the winning team.
- I will describe relationships
between variables using graphical models, be able to predict values and
outcomes, and determine whether relationships are linear or non-linear.
UNDERSTANDING THE STANDARD
· Data and scatterplots may indicate patterns that can be modeled with an algebraic equation.
· Determining the curve of best fit for a relationship among a set of data points is a tool for algebraic analysis of data. In Algebra I, curves of best fit are limited to linear or quadratic functions.
· The curve of best fit for the relationship among a set of data points can be used to make predictions where appropriate.
· Knowledge of transformational graphing using parent functions can be used to verify a mathematical model from a scatterplot that approximates the data.
· Graphing utilities can be used to collect, organize, represent, and generate an equation of a curve of best fit for a set of data.
· Many problems can be solved by using a mathematical model as an interpretation of a practical situation. The solution must then refer to the original practical situation.
fit linear y = mx + b and quadratic y = ax2
+ bx + c
functions arise from practical situations.
· Rounding that occurs during intermediate steps of problem solving may reduce the accuracy of the final answer.
· Evaluation of the reasonableness of a mathematical model of a practical situation involves asking questions including:
“Is there another linear or quadratic curve that better fits the data?”
“Does the curve of best fit make sense?”“Could the curve of best fit be used to make reasonable predictions?”
The student will use problem solving, mathematical communication, mathematical reasoning, connections, and representations to
an equation of a line
curve of best fit, using a graphing utility, given a set of no
more than twenty data points in a table, a graph, or a practical situation.
A.92 Make predictions, using data,
scatterplots, or the equation of the line
curve of best fit.
practical problems involving an equation of the line
curve of best fit.
the reasonableness of a mathematical model of a practical situation.
line of best fit, curve of best fit, outcome, reasonableness,
sample size, randomness, bias