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Virty [35]
3 years ago
13

Question 1 (10 points). (a) Explain the difference between linear and logistic regression. (Explain at least two differences and

one similarity in detail). (b) Give an example of a modeling problem (ie, using X to predict Y, where X and Y are real life examples) for each type.
Mathematics
1 answer:
cricket20 [7]3 years ago
3 0

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.

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mafiozo [28]

Answer:

u add 8+8 or 8x2 and you get 16 onces then convert that to pounds and you get 1 pounds bc 16 onces = a pound

step-by-step explanation:

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lora16 [44]
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What is the value of a?
ohaa [14]

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15

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6 0
3 years ago
Read 2 more answers
step 3 of 5: find the p-value associated with the test statistic. round your answer to four decimal places.
Ede4ka [16]

The alternative and null hypotheses is given below,

Null Hypothesis, H0: μ1 - μ2 = 0

Alternative Hypothesis, Ha: μ1 - μ2 < 0

Compound Variance is given as,

sp = sqrt( s12n1+s22n2)

sp = sqrt(16973 + 112.3673)

sp = 1.9632

Test statistic of z is,

z = (x1bar - x2bar)/sp

z = (69 - 71)/1.9632

z = -1.02

P-value Approach, P=0.1539 as long as P>= 0.

As P-value >= 0.01, failing to rule out the null hypothesis.

<h3>What is known as a decimal mark?</h3>

To differentiate between a whole number and its fractional component, a decimal point is used either as a point or a dot. It is also referred to as a decimal mark. The symbol for the decimal point is (.). In daily life, decimals are also frequently used. That whenever a shirt costs $10.50, for instance, the price can be written as 10.50.

To learn more about decimal point, Visit brainly.com/question/14938802

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