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.
This question is funny because the total he has to walk from school back home is 12 MILES. The question tries to confuse you by using the term “two-thirds”. Here is my point: He only had to walk a total of twelve miles. Why would the answer be 16, 18, and 24 miles when he only has to walk 12??? This is just common sense and I wouldn’t overthink the question. I hope I helped! Glad I caught this. Have a great night.
~Brooke❤️
Answer:
Yes
Step-by-step explanation:
F(2)= (2)+1/4(2)-2
F(2)=3/6
F(2)= 1/2
