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3 years ago

Consider the given function.

Mathematics

2 answers:

Neporo4naja [7]3 years ago

6 0

The first interception for this function would be at (1,0) the next would be (4,0)

babunello [35]3 years ago

6 0

Answer:

Step-by-step explanation:

hello :

here is a solution :

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Please help!!! Been stuck here for quite awhile.

mezya [45]

Answer:

7th term =1

Step-by-step explanation:

This is Geometric progression.

$a_{2}=\frac{a_{1}}{2}=\frac{64}{2}=32\\\\\\r=\frac{a_{2}}{a_{1}}=\frac{32}{64}=\frac{1}{2}\\\\a_{n}=ar^{n-1}\\\\a_{7}=64*\frac{1}{2}^{7-1}=64*\frac{1}{2}^{6}\\\\=64*\frac{1}{64}=1$

7th term =1

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

-4/3 • -1/2 multiply & simplify

Papessa [141]

Answer:

2/3 and the decimal form is 0.6

6 0

3 years ago

Please help me with this problem

Feliz [49]

Answer:

2nd one, 3rd one and last one

7 0

3 years ago

A pole is 3.2m tall casts a shadow that is 1.07m long. At the same time a nearby tower casts a shadow that is 41.25m long. How t

alexandr402 [8]

14-36)56)65)(67)-56)6+19equals 41.25

6 0

3 years ago