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.
You forgot to expand and simplify it... you only did step one, carry on your doing great 4 marks doesn’t come easy :)
Answer:756
Step-by-step explanation:6(121)+30
121 because 2025-1904=121 numbers of years in between
Answer:
The temperature needs to decrease 71° - 50° = 21° that at least not greater than 50°F
As we know, the device decrease the temperature down 3.5° every hour, so
21 : 3.5 = 6 hour
Call x is the hours we need to wait to let the device decrease, we have
x > 6
Answer:
all work is pictured and shown
