The following regression output is for predicting the heart weight (in g) of cats from their body weight (in kg). The coecients are estimated using a dataset of 144 domestic cats. 20 15 10 5. 2.0 2.5 3.0 3.5 4.0 Body weight (kg) Estimate Std. Error t value Pr(>It]) (Intercept) body wt s = 1.452 -0.357 0.692 -0.515 0.607 4.034 0.250 16.119 0.000 R? = 64.66% Radi 64.41% Heart weight (g) • 00 • o.

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Chapter4: Linear Functions
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How do I calculate the correlation coefficient from the information provided in the attached image?

The following regression output is for predicting the heart weight (in g) of cats from their body weight (in
kg). The coecients are estimated using a dataset of 144 domestic cats.
20
15
10
5
2.0
2.5
3.0
3.5
4.0
Body weight (kg)
Estimate
Std. Error
t value Pr(>[t|)
(Intercept)
body wt
-0.357
0.692
-0.515
0.607
4.034
0.250
16.119
0.000
R = 64.66%
Radi
= 64.41%
s = 1.452
00 000
• 00 . ..
Heart weight (g)
Transcribed Image Text:The following regression output is for predicting the heart weight (in g) of cats from their body weight (in kg). The coecients are estimated using a dataset of 144 domestic cats. 20 15 10 5 2.0 2.5 3.0 3.5 4.0 Body weight (kg) Estimate Std. Error t value Pr(>[t|) (Intercept) body wt -0.357 0.692 -0.515 0.607 4.034 0.250 16.119 0.000 R = 64.66% Radi = 64.41% s = 1.452 00 000 • 00 . .. Heart weight (g)
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