Answer:
Option B is the correct answer
Step-by-step explanation:
B. x2 + y2 = 25
100% is a whole...
35+20=55
100-55=45
There are 45% of other songs
Answer:
d) Squared differences between actual and predicted Y values.
Step-by-step explanation:
Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.
For example,
suppose a = 10 and b = 7. If X is 10, then predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.
It minimize the squared difference between actual and predicted value.
<u>Answer</u>
y = (1/2)x - 1
<u>Explanation</u>
The first step is to get the gradient of the line.
The two points in the line are; (2,0) and (-2, -2).
Gradient = (-2 - 0)/(-2, - 2)
= -2/-4
= 1/2
To get the function we use one of the point (2,0) and a general point (x,y).
1/2 = (y - 0)/(x - 2)
1/2 = y/(x - 2)
(x - 2) = 2y
2y = x - 2
y = (1/2)x - 1
