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.
The linear function that models Rachel's distance as a function of time is:
D(x) = (70 mi/h)*x
<h3>
How to find a function that models Rachel's distance as a function of time?</h3>
Remember the relation between speed and distance:
Distance = Speed*Time.
Here we know that the speed of Rachel is 70 miles per hour, then if she drives for x hours, the distance traveled will be:
D(x) = (70 mi/h)*x
So we found a linear function that models Rachel's distance as a function of time.
If you want to learn more about linear functions:
brainly.com/question/1884491
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what are the expressions?
please put the expressions so that i can help you! c:
After 4 years
the value = 1000 × (1.1)⁴
the value = 1000 × 1.4641
the value = 1464.1
