Answer:
We are given the correlation between height and weight for adults is 0.40.
We need to find the proportion of the variability in weight that can be explained by the relationship with height.
We know that coefficient of determination or R-square measures the proportion or percent of variability in dependent variable that can be explained by the relationship with independent variable. There the coefficient of determination is given below:
Therefore, the 0.16 or 16% of the variability in weight can be explained by the relationship with height
Answer: The number of $12 tickets and $15 sold are 120 and 180 respectively.
Step-by-step explanation:
The given equation is:
12x + 15y = 4140 .....(1)
Where,
x stands for $12 tickets and y stands for $15 tickets
According to the question:
x + y = 300 ....(2)
Now solving equation 1 and 2.
From equation 2:
x = 300 - y
Now putting this expression in equation 1.
12x + 15y = 4140
12(300 - y) + 15y = 4140
3600 - 12y + 15y = 4140
3600 + 3y = 4140
3y = 4140 - 3600
3y = 540
y = 180
And,
x = 300 - y = 300 - 180 = 120
The number of $12 tickets sold = x = 120
The number of $15 tickets sold = y = 180
Thus, the number of $12 tickets and $15 sold are 120 and 180 respectively.
First, add. 11/10 + 23/10 = 34/10
You can then simplify by finding the greatest common factor (2)
34/2, 10/2 = 17/5, or 3 and 2/5
Andrei is 3 and 2/5 meters tall
Answer:
Around 10
Step-by-step explanation:
Well, 10 percent of 12 is 1.2 because 12/10 is equal to that. Bruce's salary increased by exactly 1 dollar from 12 to 13. 1.2 can be rounded down pretty easily to 1 dollar so we know the answer is around 10. I don't really know everything about percentages so I'm not gonna take a wild guess and have you get it wrong. But not a lot of people are answering on brainly lately so I'm trying to help everyone as much as I can. Sorry, I hope this at least is a little bit of a guide for you.
