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VLD [36.1K]
3 years ago
15

Factor the following question completely 6x - 4x2

Mathematics
1 answer:
Lelechka [254]3 years ago
6 0

Answer:

Factor 2x out  of 6x-4x^2

2x(3-2x)

Hope this helps :)

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If m∠RQS=22x-11 and m∠RQT=12x-8, find m∠TQS
Arada [10]

Answer:

∡TQS = 10x -3

Step-by-step explanation:

∡TQS = ∡RQS - ∡RQT

= 22x - 11 - (12x - 8)

= 10x -3

3 0
3 years ago
24% of 289 estimated using<br> a rate per 100
zaharov [31]

Answer:

The answer would be 40!

Step-by-step explanation:

Estimating ~ rounding

I would round 24% (20%), and 289 (300).

using the formula:

is/of \\ = %/100,

I'm looking for "IS"

I multiply 20 (just 20, no percent) by 200 = 4000.

Then I divide by 100 to get the "IS".

That's how I got my answer!

Hope this helps!

6 0
3 years ago
How do you solve 38.2 X 10^-2 ?
Jet001 [13]
Since its to the tenth power and the exponent is negative all you have to do is move the decimal point two positions back and your new answer is 0.382
3 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
What is the probability of choosing a burrito with cheese and a taco or wrap with salsa??
quester [9]

Answer:

nothing is wrong with it

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
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