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Linear Functions and Models
Lesson 2.1
Problems with Data
Real data recorded Experiment results Periodic transactions
Problems Data not always recorded accurately Actual data may not exactly fit theoretical
relationships In any case …
Possible to use linear (and other) functions to analyze and model the data
Fitting Functions to Data
Consider the data given by this example
Note the plot ofthe data points Close to being
in a straight line
TemperatureViscosity
(lbs*sec/in2)
160 28
170 26
180 24
190 21
200 16
210 13
220 11
230 9
Viscosity (lbs*sec/in2)
0
5
10
15
20
25
30
160 170 180 190 200 210 220 230 240
Finding a Line to Approximate the Data
Draw a line “by eye” Note slope, y-intercept
Statistical process (least squares method) Use a computer program
such as Excel Use your TI calculator
Chart Title
0
5
10
15
20
25
30
35
160 170 180 190 200 210 220 230 240
Graphs of Linear Functions
For the moment, consider the first option Given the graph with tic marks = 1
Determine Slope Y-intercept A formula for the function X-intercept (zero of the function)
Graphs of Linear Functions
Slope – use difference quotient
Y-intercept – observe Write in form
Zero (x-intercept) – what value of x gives a value of 0 for y?
change in y
change in x
ym
x
y m x b
Modeling with Linear Functions
Linear functions will model data when Physical phenomena and data changes at a constant
rate The constant rate is the slope of the function
Or the m in y = mx + b The initial value for the data/phenomena is the
y-intercept Or the b in y = mx + b
Modeling with Linear Functions
Ms Snarfblat's SS class is very popular. It started with 7 students and now, 18 months later has grown to 80 students. Assuming constant monthly growth rate, what is a modeling function? Determine the slope of the function Determine the y-intercept Write in the form of y = mx + b
Creating a Function from a Table
Determine slope by using
x y
3 7
4 8.5
5 10
6 11.5
change in y
change in x
ym
x
x y10 7 3
5 3 2
31.5
2
y
x
ym
y
Answer:
Creating a Function from a Table
Now we know slope m = 3/2 Use this and one of
the points to determiney-intercept, b
Substitute an orderedpair into y = (3/2)x + b
x y
3 7
4 8.5
5 10
6 11.5
310 5
220 3 5 2
5 2
5
2
b
b
b
b
3 5
:2 2
solution y x
Creating a Function from a Table
Double check results Substitute a different ordered pair into the
formula Should give a true statement
3 5:
2 2solution y x
x y
3 7
4 8.5
5 10
6 11.5
Piecewise Function
Function has different behavior for different portions of the domain
Greatest Integer Function
= the greatest integer less than or equal to x
Examples
Calculator – use the floor( ) function
( )f x x
6.7 6 3 3 2.5 3
Assignment
Lesson 2.1A Page 88 Exercises 1 – 65 EOO
15
Finding a Line to Approximate the Data
Draw a line “by eye” Note slope, y-intercept
Statistical process (least squares method) Use a computer program
such as Excel Use your TI calculator
Chart Title
0
5
10
15
20
25
30
35
160 170 180 190 200 210 220 230 240
16
You Try It
Consider table of ordered pairsshowing calories per minuteas a function of body weight
Enter data into data matrix ofcalculator APPS, Date/Matrix Editor, New,
Weight Calories
100 2.7
120 3.2
150 4.0
170 4.6
200 5.4
220 5.9
17
Using Regression On Calculator
Choose F5 for Calculations
Choose calculationtype (LinReg for this)
Specify columns where x and y values will come from
18
Using Regression On Calculator
It is possible to store the Regression EQuation to one of the Y= functions
19
Using Regression On Calculator
When all options areset, press ENTER andthe calculator comesup with an equation approximates your data
Note both the original x-y values and the function which
approximates the data
20
Using the Function Resulting function: Use function to find Calories
for 195 lbs. C(195) = 5.24
This is called extrapolation
Note: It is dangerous to extrapolate beyond the existing data Consider C(1500) or C(-100) in the context of the
problem The function gives a value but it is not valid
( ) 0.027 0.0169C x x Weight Calories
100 2.7
120 3.2
150 4.0
170 4.6
200 5.4
220 5.9
21
Interpolation
Use given data Determine
proportional“distances”
Weight Calories
100 2.7
120 3.2
150 4.0
170 4.6
195 ??
200 5.4
220 5.9
30 0.825 x
25
30 0.80.4167
4.6 0.4167 5.167
x
x
C
Note : This answer is different from the
extrapolation results
22
Interpolation vs. Extrapolation
Which is right? Interpolation
Between values with ratios Extrapolation
Uses modeling functions Remember do NOT go beyond limits of known data
( ) 0.027 0.0169C x x
23
Correlation Coefficient
A statistical measure of how well a modeling function fits the data
-1 ≤ corr ≤ +1
|corr| close to 1 high correlation
|corr| close to 0 low correlation
Note: high correlation does NOT imply cause and effect relationship
Assignment
Lesson 2.1B Page 94 Exercises 85 – 93 odd