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.
Answer: C: 5
Step-by-step explanation:
Answer:
45 degrees
Step-by-step explanation:
AOB = 140°
and an the angle bisector(OC) is a line which will divide AOB into 2 equal angles
which is 140÷2= 70
and if AOD = 25 then COD= 70-25
= 45 degrees
hope it helps
Answer:
Cost of medium iced caramel latte = $3.59
Step-by-step explanation:
Assume;
Cost of medium iced caramel latte = x
Cost of blueberry muffin = y
So,
On Thursday
x + y = 5.18......eq1
On Friday
2x + 3y = 11.95.....eq2
Eq1 × 3
3x + 3y = 15.54......eq3
eq3 - eq2
x = 3.59
Cost of medium iced caramel latte = $3.59