Answer:
Step-by-step explanation:
the perimeter P=2(L+W)=54
P=2L+2W=54 OR L+W=27
we know that L=3W+3
P=3W+W=27-3
4W=24
W=6 CM
L=21CM
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.
Ok, I'm not giving you the answer. Instead, I'm going to give you the way to solve it. Then, you can do it yourself, message it to me, and I will check it.
Do .11 x 25. Remember to add the decimal back in.
The rule for the linear graph is y=mx
Answer:
1-141
2-39
3-141
Step-by-step explanation:
180-39=141
1 and 3 look the same size and 2 looks the same as c (39°) so you jsut fill in for the letters
I'm pretty sure this is right
