Answer:
UGUDCRTSE5D
Step-by-step explanation:
Answer:
19% of the total variation in the y-values is not explained by the regression line
Step-by-step explanation:
The correlation coefficient, r, is a measure of the degree of association between two variables. It gives information on the direction and strength of the relationship.
On the other hand, is the coefficient of determination and is a measure of the percent of the total variation in the y-values explained by the regression line.
is simply the square of r;
This implies that 81% of the total variation in the y-values is explained by the regression line. Therefore, only 19% is not explained.
Question:
The graph represents the two companies' prices. What is the linear equation that represents each T-shirt company?
Answer:
1.) Shirt Box: y = 7.5x + 30
2.) Just Tees: y = 10.5x
Step-by-step explanation:
For Number -<u>One</u>- We do - 7.5 + 30 = 37.5
For Number -<u>Two</u>- We do - 10.5 <u>×</u> "X"
You See We have to solve for "X"
This is just to give the idea, and Kinda help Explain it. . .
(Yes i know im 4 days late - & Yes i know its already answered, But I just explained it To get the Understanding of the Two answers.)
Answer:
x - 12 / 4
Step-by-step explanation:
I'm pretty sure that's the answer
The best predicted value of y for x = 9.9 is y = 83.42.
<h3>What is linear equation if two variables?</h3>
Linear equations with two variables are equations with one, zero, or infinitely numerous solutions where every of a two variables has the highest exponential order of 1.
Some key features regarding linear equation if two variables are-
- The two-variable linear equation has the conventional form ax + by + c = 0, where x and y are the variables.
- These solutions might also be expressed in pairs, such as (x, y).
- A graphical representation of a linear equation system in two variables involves two straight lines that can be intersecting, parallel, or coincident.
Now, according to the question;
The given equation is;
y = 55.8 + 2.79x
Calculate the value of y by substituting the value of x = 9.9.
y = 55.8 + 2.79×9.9
y = 83.42
Therefore, the best predicted value of y for x = 9.9 is 83.42.
To know more about linear equation if two variables, here
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The correct question is-
Eight pairs of data yield r = 0.708 and the regression equation y = 55.8 + 2.79x. Also, the mean y-value is 71.125. What is the best predicted value of y for x = 9.9?