This particular graph would not benetit from an equat x-axis is broken making it appear that when you are at age 0, you would be approximately 64 inches tall. When you have a broken x-axis, use the line of best fit to help you make predictions without the equation. When you are interpolating, this is easier. When extrapolating, it is more complicated because you are having to extend your line and graph to consider where the line of best fit would intersect. Basketball Player Age v/s Height 78 74 Use the line tool to create a line of best fit. Predict the height if a basketball player is the following age. 70 19 12 16 21 66 Would these predictions always be reasonable? Describe when the equation appears to be no longer valid. 13 14 15 16 17 18 19 20 Age (Years) Height (Inches)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 20PFA
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SOLVIING PROBLEM
SCATT ER PL OTS
This particular graph would not benefit from an equation because the
X-axis is broken making it appear that when you are at age 0, you
would be approximately 64 inches tall. When you have a broken x-axis,
use the line of best fit to help you make predictions without the
equation. When you are interpolating, this is easier. When
extrapolating, it is more complicated because you are having to extend
your line and graph to consider where the line of best fit would
intersect.
Basketball Player
Age v/s Height
78
74
Use the line tool to create a line of best fit.
Predict the height if a basketball player is the following
age.
70
19
12
16
21
66
Would these predictions always be reasonable?
Describe when the equation appears to be no longer
valid.
13
14
15
16
17
18
19
20
Age (Years)
Height (Inches)
Transcribed Image Text:SOLVIING PROBLEM SCATT ER PL OTS This particular graph would not benefit from an equation because the X-axis is broken making it appear that when you are at age 0, you would be approximately 64 inches tall. When you have a broken x-axis, use the line of best fit to help you make predictions without the equation. When you are interpolating, this is easier. When extrapolating, it is more complicated because you are having to extend your line and graph to consider where the line of best fit would intersect. Basketball Player Age v/s Height 78 74 Use the line tool to create a line of best fit. Predict the height if a basketball player is the following age. 70 19 12 16 21 66 Would these predictions always be reasonable? Describe when the equation appears to be no longer valid. 13 14 15 16 17 18 19 20 Age (Years) Height (Inches)
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