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.
I think 1 hour about I do not have enough info to know of it is right or not.
Answer:
they spend the time for swimming is 11/4 ✖ 2 =22/4
that's means in hours =5 hours 30 minutes
Answer:
x ∈ ℝ
Step-by-step explanation:
Since this is a constant function, this domain is the set of all real numbers.
Hope this helped! :)
Answer:
252 in^3
Step-by-step explanation:
8 * 2 * 7 plus 4 * 7 *5