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.
Do 60 divided by 4 ( 25 percent) which is 15. 60-15 is 45. 45 plus 45 is 90 so yes he has enough money to buy two watches
It is just the difference between the signs
Answer: B. 33.1
Step-by-step explanation:
Use sin to solve (opposite/hypotenuse)
let x= length of CV
sin(37)=x/55
x=55sin(37)
x≈33.1
There is no equation, nor ordered pair, so it is impossible to answer this question. I apologise.
