17.
The point-slope form:
We have slope=m=8, and the point (-5, -3). Substitute:
18.
The formula of a slope:
We have the points (3, 4) and (15, 10). Substitute:
The point-slope form:
or
0.06x+0.09 (1200-x)=96
Solve for x
X=400 at 6%
1200-400=800 at 9%
Answer:
4(x - 1) = 4x - 4
3x + 6 = 3(x + 2)
Step-by-step explanation:
The first equation is
We simplify to get;
This is not true, therefore this equation has no solution.
The second equation is
Combine like terms:
This has a unique solution.
The 3rd equation is
Group similar terms:
The 4th equation is :
This is always true. The equation has infinite solution.
The 5th equation is:
This also has infinite solution
The 6th equation is
It has a unique solution.
The answer a I got it right on edge see I think right answer
Answer:
There is a linear correlation between the number of doughnuts Homer eats and his weight. If Homer wants to lose weight, he should eat less doughnuts. If Homer graphed this relationship on a scatterplot, an increase on the y axis would lead to an increase on the x axis.
Step-by-step explanation:
Given that doughnuts have a high content of fat and sugar, they are well proved to be fattening foods. Indeed, one would expect that the more doughnuts are consumed per time unit, the more body weight will increase.
Mathematically, both variables (amount of doughnuts consumed and body weight) will behave the same way: an increase in one of them will led to an increase in the other one. The independent variable is the amount of doughnuts consumed by Homer (per unit time), as this is independent on anything else for this given problem, while the body weight is the dependent variable for its will respond to the increase in the amount of doughnuts consumed.
Graphically, the independent variable is plotted on the "<em>y</em>" axis, while the dependent variables is placed on the "<em>x</em>" axis.
Thus, when the relation between both variables is plotted, a straight-line relationships is expected. This is called a linear correlation, and it is interpreted as mentioned above: when the independent variable increases, the dependent variable increases as well, while a decrease in the independent variable leads to a decrease in the dependent one.
