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:
hey one point goes through (-1.5,0) and( 0,3)
Step-by-step explanation:
Hope this helps
pls put brainliest
Answer:
the coefficient of x^2 is 16
Step-by-step explanation:
is the number in front of the variable and exponent
Lets think of it this way:-
1/2 is one half
Whats half of 12? 6
Now, 7 is greater than 6, which means the fraction 7/12 is greater than 1/2
Answer: 7/12 is bigger
The given equation is 
We need to solve the equation for q.
<u>Value of q:</u>
The value of q can be determined by solving the equation for q.
Thus, subtracting both sides of the equation by r, we get;
Now, dividing both sides of the equation by b, we have;
Simplifying the terms, we get;
Therefore, the value of q is 
Hence, Option B is the correct answer.
