Answer:
$12.60
Step-by-step explanation:
12 x .05 = .60
12.00 + .60 = $12.60 per yard
____________________________________
Answered by : ❝ AǫᴜᴀWɪᴢ ❞
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.
You plug in 8 for the r's and you'll get 8 plus 8 divide by 2 times 4 then youll get 8+4 times 4. Then you'll get 8+16 and it --24
I hope this helps you
6n>-18+3
6n>-15
n>-2,5