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.
The range of a relation is the possible output values, the y-values.
Answer:
borh are correct in the same order that you wrote them. fist you eliminate 1 from the orinal side to the other so the next step is also right you subtrac 8 mines 1 so equal to 7 ...
Answer:80 feet
Step-by-step explanation:
Sum of < in a triangle is 180°
<G + <E + <F=180°
90 + 20 + < F = 110
< F = 70°
Using sine rule
sin G\EF = sin F\EG
sin90°\EF = sin70°\75
EF = 75sin90°\sin70°
= 79.81
=80 to the nearest tenth feet.
I’m sorry I can’t read that it’s too small..
