1. We want to look at the relationship between the estimated cost (y) and the age of the vehicle (x). Assume that we have calculated these values from the sample * = 3.308, ỹ = 2.292 %3D (r; – )(y – ) = -21.169, (x; – x)² = 24.649 %3D Xi Xi %3D

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Chapter1: Combinatorial Analysis
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1. We want to look at the relationship between the estimated cost (y) and
the age of the vehicle (x). Assume that we have calculated these values
from the sample
* = 3.308, y = 2.292
> (T; - )(y; - 9) = -21.169, (x; – 7)² = 24.649
Xi
%3D
|
Find the least square regression line.
(a) y = -1.559 + 1.1643.x
(b) y = -0.550 + 0.859x
(c) y = 6.143 – 1.164x
-
(d) y = 5.133 – 0.859x
-
2. If there is a three-year old used car whose estimated cost is 2.6, what
is the residual for this observation?
(a) 0.666
(b) 0.573
(c) -0.051
(d) 0.044
Press Ctri+Shift+M to unmute your microphone.
Transcribed Image Text:1. We want to look at the relationship between the estimated cost (y) and the age of the vehicle (x). Assume that we have calculated these values from the sample * = 3.308, y = 2.292 > (T; - )(y; - 9) = -21.169, (x; – 7)² = 24.649 Xi %3D | Find the least square regression line. (a) y = -1.559 + 1.1643.x (b) y = -0.550 + 0.859x (c) y = 6.143 – 1.164x - (d) y = 5.133 – 0.859x - 2. If there is a three-year old used car whose estimated cost is 2.6, what is the residual for this observation? (a) 0.666 (b) 0.573 (c) -0.051 (d) 0.044 Press Ctri+Shift+M to unmute your microphone.
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