Answer:
(25, 20 ) represents that the dimension of the coral is 25 feet long and 20 feet wide.
Step-by-step explanation:
The general representation P(x,y) represents the Cartesian Representation of a point in a 2 Dimension.
Here, x represents the distance of the point P from y axis to the x axis.
and y represents the distance of the point P from x axis to the y axis.
(x, y) together gives the 2 dimensional representation of the point P.
Now here, the given coordinates are (25, 20)
So, here x = 25 and y = 20
So, (25, 20 ) represents that the dimension of the coral is 25 feet long and 20 feet wide.
Hence, option 3 is the most appropriate.
Answer:
y = 2x + 3
Step-by-step explanation:
In the slope-intercept form of the equation of a line,
y = mx + b,
m = slope, and b = y-intercept.
Let's look at Adriana's equation and understand the parts:
y = 2x + 4
y = mx + b
m = slope = 2; b = y-intercept = 4
Now let's look at the description of Henry's equation.
He has the same slope as Adriana, so for Henry, m = 2 also.
His y-intercept is 1 less than Adriana's, so it is 1 less than 4. Henry's y-intercept is 3.
Now that we know that for Henry, m = 2, and b = 3, we can write his equation.
y = mx + b
y = 2x + 3
Answer: y = 2x + 3
Answer:
2
Step-by-step explanation:
To find the common ratio, take the second term and divide by the first term
-14/-7 = 2
Check by dividing the third term by the second term
-28/-14 = 2
The common ratio is 2
Answer:
Step-by-step explanation:
You need to assume that the slope between the dependent Varian and the numerical independent variable is zero.
In regression analysis, to find the effect of one independent variable on the dependent variable, there has to be no interference from the other independent variables whether they be categorical (dummy) or numerical independent variables.
A dummy variable is one which takes on the value of 0 or 1, to represent the absence or presence (respectively) of a given category which is expected to influence the dependent variable.
When a dummy independent variable is included in a regression model, to know the effect of that dummy or category (e.g. day =1, night =0) on the dependent variable, the influence of the numerical independent variable has to be removed temporarily.
In a regression equation,
Y=a+bX+cK
Y is the dependent variable
a is the intercept on the vertical axis on the graph
b is the slope between the dependent variable Y and the independent numerical variable X
c is the slope between the dependent variable Y and the dummy variable K
