An animal trainer tests whether the number of hours of obedience training can predict where a dog places in a dog show. The hypothetical data are given below.
Hours of Training | Place in Breed Show |
---|---|
X | Y |
19 | 1 |
6 | 6 |
11 | 2 |
9 | 4 |
In terms of the method of least squares, which of the following regression lines is the best fit for these data?
(***** There is a letter Y with this arrow ^ over it that wont transfer, So I will type it as Y^)
A- Y^ = −1.4X − 4.25
B- Y^ = 0.358X − 7.283
C- Y^ = −0.358X + 7.283
D- Y^ = 1.4X + 4.25
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