Give the percentage of variation in the weight of the snakes (Y) that is explained by the length Round your answer to the nearest integer.
Give the percentage of variation in the weight of the snakes (Y) that is explained by the length Round your answer to the nearest integer.
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
Transcribed Image Text:d)
Give the percentage of variation in the weight of the snakes (Y) that is explained by the length of the snakes (X).
Round your answer to the nearest integer.
Calculate the estimated weight (in g) of a snake that is 65cm long.
Round your answer to the nearest integer.

Transcribed Image Text:In a population of snakes, researchers caught and measured ten adult females. Their body lengths (X) and weights (Y) are shown in the table below.
Length (in cm)
64
70
63
61
62
60
57
51
59
54
Weight (in g)
254
296 310
284
225
192
190
155
204
179
The hypothesis to be tested is
Но : р — 0
H1 : p + 0
at a =
0.05 level of significance where pis the population correlation coefficient.
Given:
The estimated simple linear regression equation is Y = -278 + 8.439X.
The sample correlation coefficient is r =
0.8356.
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