Answer:
<em>6</em>
Step-by-step explanation:
The x-intercept is the x-coordinate of the point on the line that intersects the x-axis. At the x-axis, all y-coordinates are 0. Let y = 0, and solve for x.
2x – 3y = 12
2x - 3(0) = 12
2x = 12
x = 6
Answer:
In this scenario, we will use the <u>femur or the thigh</u> bone length as the explanatory variable.
Step-by-step explanation:
Dependent variables are those variables that are under study, i.e. they are being observed for any changes when the other variables in the model are changed.
The dependent variables are also known as response variables.
Independent variables are the variables that are being altered to see a proportionate change in the dependent variable. In a regression model there can be one or more than one independent variables.
The independent variables are also known as the explanatory variables.
Scientifically it is believed that the length of arm and legs are related and basically grow at the same time.
So, in this case the explanatory variable can either of the two bone lengths.
Thus, the complete statement is:
"In this scenario, we will use the <u>femur or the thigh</u> bone length as the explanatory variable."
Answer:
1/6 <3
Step-by-step explanation:
5/6 divided by 5
Answer:
The change is a loss of 10 yards, so -10 yards.
Step-by-step explanation:
The total change in yardage after 2 plays is the sum of the yardage of each play.
What lost yardage means?
Lost yardage means negative yardage.
Imagine that in a Buffalo Bills game, Devin Singletary lost 2 yards on his first carry. So his total yardage is -2.
If in the next carry he gets 3 yards, his total yardage is 1. If he loses 1, his total yardage is -3.
First play
Loss of 5 yards.
So the first play counts for -5 yards.
Second play
Loss of 5 yards.
So the second play counts for -5 yards.
Total
-5 - 5 = -10
The change is a loss of 10 yards, so -10 yards.