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9:34 AM Mon Apr 1
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QUIZ:
More Regression WrapUp
What is the quadratic regression equation for the data set?
6 3 10 3
5 15 9
y 100 110 50 90 120 30 70
○
y = 0.175x² 3. 786x121.119
y= 0.175x² + 3.786x + 121.119
Оу
○ y = −0.175(3.786)
X
Оу
○ y = 0.175x

3.786
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3.17 Quiz: More Regression WrapUp
<
The equation y = 5.131x² + 31.821x  3.333 approximates the number of people
standing in line to catch a commuter train x hours after 5 a.m.
What is the best estimate for the number of people in line at 9 a.m.?
46
32
40
42
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3.17 Quiz: More Regression WrapUp
What is the exponential regression equation for the data set?
y
3
4
7 11 12 16 19
0.3 0.5 0.9 1.2 1.7 1.7 1.9
оу
=
•
(0.33 1.11)
X
O y = 1.11.0.332
оу
Оу
= 0.33 1.11
=
0.33.1.11
X
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3
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50
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3.17 Quiz: More Regression WrapUp
<
The equation y
=
20646 0.86% estimates the value of a brand of car x years after it was
•
purchased new. Milo purchased this brand of car when it was new.
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To the nearest dollar, what will be the approximate value of Milo's car 11 years after he purchased it?
$3929
○ $5138
○ $20,637
$17,756
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3.17 Quiz: More Regression WrapUp
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Joel wants to find the best model for a bivariate data set that he is working with. He used a calculator to
create a linear model, a quadratic model, and an exponential model. The coefficient of determination for
the linear model was 0.45. The coefficient of determination for the quadratic model was 0.38, and the
coefficient of determination for the exponential model was 0.51.
Which model should he use to represent the data set?
linear
○ quadratic
○ exponential
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