Probabilities are used to determine the chances of an event.
- <em>The probability of selecting a flower that has a long stem and is large is 0.29</em>
- <em>The probability of selecting a large flower that has a short stem is 0.597</em>
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<u>A. Probability of selecting a large flower with a long stem</u>
The total number of flowers is:
Large flowers with long stem are 29.
So, the probability is:
<u>B. Probability that a large flower has a short stem</u>
The total number of large flowers are
Large flowers with short stem are 43
So, the probability is:
Read more about probabilities at:
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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.
It’s 2.2. If an explanation is needed, comment on this answer.
Answer:
answer: 125
Step-by-step explanation: