Answer:
<h3>A. The slope describes the amount of change in Y for a one-unit increase in X
.</h3><h3>B. The regression equation is the line that best fits a set of data as determined by having the least squared error.</h3>
Step-by-step explanation:
In statistics, linear regression is a analysis we do to describe the relationship between two variables. With this study, we pretend to know if there's a positive or negative correlation between those variables, if that correlation is strong or weak.
In a linear regression analysis, we modeled the data set using a regression equation, which is basically the line that best fits to the data set, this line is like the average where the majority of data falls. That means choice A is right.
When we use linear equations, we need to know its characteristics, and the most important one is the slope, which is the ratio between the dependent variable and the independent variable. Basically, the slope states the unit rate between Y and X, in other words, it states the amount of Y per unit of X. That means choice B is correct.
Therefore, the correct answers are A and B.
2 multiply by 4 is 8 , 8 multiply 3 is 24
Sorry it is 2 nickel which equals ₵10 and 6 dimes which equals ₵60 and when you add them together they equal ₵70
Answer:
Step-by-step explanation:
If apricots is x, and each apricot weighs 5 grams, then the expression for that is 5x; if each cherry, y, weighs 2 grams, then the expression for that is 2y. If the mix Roy wants to make needs AT LEAST 230 grams of fruit, then
5x + 2y ≥ 230 where the inequality sign "greater than or equal to" satisfies the expression "at least".