Answer:
It would be the first graph, because if you look at the points on your graph the first one is (0,1), the the next one is (5,2), and so on so forth, that makes your answer the first graph, because that table is showing you the points that are marked
Step-by-step explanation:
Answer:
oogla boogla
Step-by-step explanation:
Answer:
Explained below.
Step-by-step explanation:
Consider the variables height and weight.
It is usually seen that taller people are heavier than shorter people.
So a regression analysis can be used to specify this belief.
The statistical questions that are being asked here are:
- What the independent and dependent variables?
- Are there any other factor influencing the dependent variable other than the independent variable?
The variable <em>Y</em> is considered as the dependent variable and the variable <em>Y</em> is considered as the independent variable. And the main purpose of the regression analysis is to predict the value of <em>Y</em> when the value of <em>X</em> is given.
The linear regression model can be used to predict the past and future value of the dependent variables provided that the independent variables for those times are provided.
It is because the 35.4% divided the 100% total is B. 0.354
