5.4 – Fitting a Line to Data Today we will be learning about: ◦ Finding a linear equation that...

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5.4 – Fitting a Line to Data

Transcript of 5.4 – Fitting a Line to Data Today we will be learning about: ◦ Finding a linear equation that...

Page 1: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

5.4 – Fitting a Line to Data

Page 2: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Today we will be learning about:◦ Finding a linear equation that approximated a set

of data points

◦ Determining whether there is a positive or negative correlation or no correlation is a set of real-life data

Page 3: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Usually, there is no single line that passes through all data points

BEST-FITTING LINE – the line that fits best to the data

Page 4: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Example 1You are studying the way a tadpole turns into a frog. You collect data to make a table that shows the ages and the lengths of the tails of 8 tadpoles. Draw a line that corresponds closely to the data. Write an equation of the line.

Age (days)

Length of tail (mm)

5 14

2 15

9 3

7 8

12 1

10 3

3 12

6 9

Page 5: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Age (days)

Length of tail (mm)

5 14

2 15

9 3

7 8

12 1

10 3

3 12

6 9

Page 6: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Example 2The winning Olympic times for the women’s 100 meter run from 1948 to 1996 are shown in the table. Draw a line that corresponds closely to these times. Write an equation of your line.

Olympic Year Winning Time

1948 11.9 s

1952 11.5 s

1956 11.5 s

1960 11.0 s

1964 11.4 s

1968 11.0 s

1972 11.1 s

1976 11.1 s

1980 11.1 s

1984 11.0 s

1988 10.5 s

1992 10.8 s

1996 10.9 s

Page 7: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

A correlation (r) is a number between -1 and 1 that indicates how well a straight line can represent the data.

When the points on a scatter plot can be approximated by a line with a positive slope, x and y have a POSITIVE CORRELATION

Page 8: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

When the points can be approximated by a line with negative slope, x and y have a NEGATIVE CORRELATION.

When the points cannot be approximated by a straight line, there is RELATIVELY NO CORRELATION

Page 9: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Example 3The Hernandez family spent 6 hours traveling by car.

The two graphs show the gallons of gas that remain in the gas tank and the miles driven for each of the 6 hours. Which is which? Explain.

Describe the correlation of each set of data.

Page 10: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

There are many technologies available to help graph many data points and to find the best fitting line.

Today we will work with graphing calculators

Page 11: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Example 4◦ Use a graphing calculator to find the best-fitting

line for the data.◦ (38, 62), (28, 46), (56, 102), (56, 88), (24, 36),

(77, 113), (40, 69), (46, 60)

Page 12: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

Graphing Calculator Activity

Page 13: 5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.

HOMEWORKPage 296

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