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kumpel [21]
3 years ago
7

Answers are (-1,3) (0,2) (1,2) (2,-1) (2,2)

Mathematics
1 answer:
sladkih [1.3K]3 years ago
7 0
DahiaizmdmekwoOkxndjsoao1,2
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What is the height of the cone if its volune is 8,138.88 feet CUBED? Use 3.14 for pi. (Radius of base of cone is 12 ft)
Morgarella [4.7K]

Answer:

h = 54 feet

Step-by-step explanation:

The equation for the volume of a cone is V = \frac{1}{3} × π × r² × h.

You have the volume, which is 8,138.88, and the radius of the base, which is 12.

V = 8,138.88

h = 12

π = 3.14

When you plug everything you know into the equation, you get:

V = \frac{1}{3} × 3.14 × r² × h.

8,138.88 = \frac{1}{3} × 3.14 × (12)² × h

After you multiply everything on the right side, you come out with:

8,138.88 = 150.72 × h

To find h, you can divide each side by 150.72.

8,138.88 ÷ 150.72 = 54 feet!

3 0
3 years ago
4. Assume that you have a part-time job at which you work 20 hours per week at the rate
charle [14.2K]

Answer:

0.125

7.50/60=1.25

since there 60 minutes in one hour you would divide the hourly rate by 60.

8 0
3 years ago
Convert 9.3 kribs into grees given that 4.2 kribs = 18 grees.
maria [59]

Answer:

39.9 grees

Step-by-step explanation:

Since 4.2 kribs = 18 grees

Then,

1 krib = 18/4.2 grees

9.3 kribs = (18/4.2) x 9 3

9.3 kribs = 39.9 grees.

4 0
3 years ago
Question 1 (10 points). (a) Explain the difference between linear and logistic regression. (Explain at least two differences and
cricket20 [7]

Answer:

(a) <em>Linear regression</em> is used to estimate dependent variable which is continuous by using a independent variable set. <em>Logistic regression</em> we predict the dependent variable which is categorical using a set of independent variables.

(b) Finding the relationship between the Number of doors in the house vs the number of openings. Suppose that the number of door is a dependent variable X and the number of openings is an independent variable Y.

Step-by-step explanation:

(a) Linear regression is used to estimate dependent variable which is continuous by using a independent variable set .whereas In the logistic regression we predict the dependent variable which is categorical using a set of independent variables. Linear regression is regression problem solving method while logistic regression is having use for solving the classification problem.

(b) Example: Finding the relationship between the Number of doors in the house vs the number of openings. Suppose that the number of door is a dependent variable X and the number of openings is an independent variable Y.

If I am to predict that increasing or reducing the X will have an effect on the input variable X or by how much we will make a regression to find the variance that define the relationship or strong relationship status between them. I will run the regression on any computing software and check the stats result to measure the relationship and plots.

3 0
3 years ago
Which property of equality is represented? If 4x = 16, then 16 = 4x.
Komok [63]

Answer:

Commutative Property of Multiplication.

7 0
4 years ago
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