This is a linear function, of the kind y = mx + b
where x is the number of visit, b is the weight when x = 0, and m is the predicted change of weight for every visit.
m = - 4 ounces / visit, which must be converted to pounds (the negative sign indicates that the change is a decrease)
1 lb = 16 ounces = 4 ounces = 0.25 lb
Then m = - 0.25 lb / visit.
Now, for x = 1, y = 126 => 126 = - 0.25(1) + b => b = 126 + 0.25 = 126.25
Then the function is y = 126.25 - 0.25x
Now round to the nearest tenth:
y = 126.3 - 0.3x
Answer: y = 126.3 - 0.3x
what is the mean of this data set? 12, 17, 16, 10, 20, 13, 14, 14, 12, 12, 19, 18. answers: 13.50, 14.00, 14.75, and 15.75
murzikaleks [220]
Answer:
14.75
Step-by-step explanation:
Add them all up, divide by 12
Answer:
Hi there!
Your answer is:
B. Identity property
Step-by-step explanation:
The multiplicative identity property of 1, any number multiplied by 1, gives the same result as the number itself. It is also called the Identity property of multiplication, because the identity of the number remains the same
Hope this helps!
Answer:
54
Step-by-step explanation:
Answer:
Option A is correct.
Step-by-step explanation:
Correlation coefficients tell us how strongly the two variables are associated.
A positive correlation is a relation when both the variables move together in the same direction. Like if value of first increases the other also increases.
When the correlation coefficient is greater than 0, this means that both variables are correlated.
So, the answer here will be :
A. There is a linear relationship between the variables, and whenever the value of one variable increases, the value of the other variable increases.
