Answer:
m=0
Step-by-step explanation:
The slope of a line can be found using:
Let's call (2,0) our "2" coordinate, and (1,0) our "1" coordinate.
Coordinates are written as: (x,y)
Therefore, our x2 is 2 and y2 is 0. Our x1 is 1 and y2 is 0.
Substitute these values into the formula .
m=0
The slope of the line is 0
Answer:
Its to blurry pls zoom in
Step-by-step explanation:
Answer:
3524.4 g
Step-by-step explanation:
- Use formula: Density = Mass/Volume
- Mass= Density * Volume
Answer:
Answer below
Step-by-step explanation:
1. C 2
2. The temperature from 15°F to -6°F has changed by 21°F
5. C $37
I hope this helps
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.
