Answer:
Kindly check explanation
Step-by-step explanation:
Given that :
Correlation Coefficient (r) = 0.989
alph=0.05
Number of observations (n) = 8
determine if there is a linear correlation between chest size and weight.
Yes, there exists a linear relationship between chest size and weight as the value of the correlation Coefficient exceeds the critical value.
What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
To determine the the proportion of variation in weight that can be explained by the linear regression line between weight and chest size, we need to obtain the Coefficient of determination(r^2) of the model.
r^2 = square of the correlation Coefficient
r^2 = 0.989^2 = 0.978121
Hence, about 0.978 (97.8%) of the variation in weight can be explained by the linear relationship between weight and chest size.
Answer:
2/300, or simplified: 1/150. Decimal: 0.006
Step-by-step explanation:
The range is <span>is greater for data set 2.
- This is because it goes from 21-34 in the first set and 12-36 in the second.
The mean is greater for data set 2.
- This is because the first mean is 27.4 and the second is 28.05. </span>
Answer:
Equations make complicated math procedures easier to accomplish and simpler to understand.
Step-by-step explanation:
Answer: 
Step-by-step explanation:
The acceleration 
of the satellite can be calculated by the following equation:
Where:
is the final speed of the satellite
is the initial speed of the satellite (it was "stationary" before the release)
is the time
Isolating :
Finally:
