Answer:
Step-by-step explanation:
Given that for a sample of eight bears, researchers measured the distances around the bears' chests and weighed the bears.
r = linear correlation coeff = 0.952
H_0: r =0\\
H_1 :r\neq 0
(Two tailed test)
r difference = 0.952
n=8
Std error = \sqrt{\frac{1-r^2}{n-2} } =0.12496
Test statistic t = 0.952/0.12496 = 7.618
Alpha = 0.05
df = 6
p value = 0.000267
This implies H0 is rejected.
There exists a linear relation between the variables and r cannot be 0
0.952^2 = 0.906=90.6% of variation in weight can be explained by the linear relationship between weight and chest size
Answer:
20% (I believe)
Step-by-step explanation:
If you divide 16 from 320 you should get 20, and 20% of 320 is 16! :3 (I really hope that this helps- I'm not the best at math ;w;)
Answer:
Step-by-step explanation:
a, compares to 50 beacuse a means the staying point ; slope, so that’s why it starts at 50.
b, compares to 3 beacuse that is the y-intercept
