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Anestetic [448]
1 year ago
12

Draw a line representing the “rise” and a line representing the “run” of the line. State the slope of the line in the simplest f

orm

Mathematics
1 answer:
irina1246 [14]1 year ago
4 0

Answer:

the rise would be the part of the line that is going up, and the run is the part of the line that is moving allong the x axis

Step-by-step explanation:

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3 years ago
How do you graph y= -7x-1?<br> Show the coordinates and graph.
aliya0001 [1]

Answer:

You start at -1 because its your y-intercept and from there you go 7 down and 1 to the right

Step-by-step explanation:

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2 years ago
Read 2 more answers
These two figures are the image and pre-image of a
babymother [125]

Answer:

D.) 9m

Step-by-step explanation:

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2 years ago
Which expression can be used to find the surface area of the following square pyramid?
telo118 [61]

Answer:

Step-by-step explanation:

The slant height of one side of this pyramid is 5, and the base of this side is 4.  Thus, the area of one slant side is (1/2)(5)(4) = 10 units^2.

There are 4 such sides.  Thus, the total slant surface area is 4(10 units^2), or 40 units^2.  

If you also want to include the base area, the total would be

40 units^2 + 16 units^2 = 56 units^2.

8 0
3 years ago
Consider the population regression of log earnings [Yᵢ, where Yᵢ= ln(Earningsᵢ)] against two binary variables:
puteri [66]

Answer:

A) allows the population effect on log earnings of being married to depend on gender

Step-by-step explanation:

The regression equation of a dependent variable based on two or more independent variables is of the form:

Y=b_{0}+b_{1}X_{1} +b_{2}X_{2}+b_{3}X_{1}X_{2}

Here,

<em>Y</em> = dependent variable

X_{1} and X_{2} = independent variables

X_{1}X_{2} = interaction term

b_{1},\ b_{2}\ and \ b_{3} = regression coefficients.

If there is a significant interaction effect present then this implies that the effect of one independent variable (X_{1} orX_{2} ) on the dependent variable (<em>Y</em>) differs every time with different value of the other independent variable  (X_{1} orX_{2} ) .

The provided regression equation is:

Y_{i}=\beta _{0}+\beta _{1}D_{1i}+\beta_{2}D_{2i}+\beta _{3}D_{1i}D_{2i}+u_{i}

Y_{i} = dependent variable

D_{1i} and D_{2i} = independent variables

In this case the interaction term is defined as follows:

The effect of being married on log earnings is dependent on different values of the variables D_{2i}, i.e. the gender of the i^{th}person.

Thus, the correct option is (A).

3 0
3 years ago
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