Answer:
Step-by-step explanation:
Hello!
a)
The dependent variable is
Y: length of a dugong
The explanatory variable is
X: age of a dugong
You need to estimate the linear regression of the length of the dugongs as a function of their age.
Using the given data I've estimated the regression using a statistic software:
The regression model is E(Yi)= α + βXi
The estimated model is ^Yi= a + bXi
Where a is the estimate of the intercept and b is the estimate of the slope:
a= 2.02
b= 0.03
And the estimate of the population variance of the error is Se²= 0.03
The estimated regression equation is ^Yi= 2.02 + 0.03Xi
b)
You have to estimate the length of a dugong when its age is 11 years using the model, for this all you have to do is replace X=11 in the regression line and calculate the corresponding ^Y value:
^Yi= 2.02 + 0.03*11= 2.35
The average length of an 11-year-old dugong should be 2.35.
I hope it helps!
Answer:
503
Step-by-step explanation:
Answer:
x is less-than-or-equal-to 2.25 (x ≤ 2.25)
Step-by-step explanation:
We can write down the inequality that represents the weight Li can add without going over the 50 pound limit:
47.75 + x ≤ 50
If we solve for x we have:
47.75 + x ≤ 50
x ≤ 50 - 47.75
x ≤ 2.25
Therefore, the weight Li can add to the suitcase is less-than-or-equal-to 2.25
Total albums:
8 + 12 + 4 = 24
Probability of both blue = Probability of first blue x Probability of second blue
P(First blue) = 12/20
P(Second blue) = 11/19
P(Both blue) = 12/20 x 11/19
= 33/95
