Answer:
Option A
Step-by-step explanation:
Given that A linear model is given for the data in the table: y=1.25x+2.
Let us write observed values for each x and also the predicted values as per equation.
x 2 3 4 8 10 16 20 24 Total
y((O) 3 4 7 12 16 22 28 30
y(P) 4.5 5.75 7 12 14.5 22 27 32
DEv 1.5 1.75 0 0 1.5 0 1 2 7 75
where y(0) represents observed y or y in the table given
y(P) gives values of y predicted as per the equation 1.25x+2
Dev represents the absolute difference
Hence answer is option
A.7.75
Answer:
45 pictures
Step-by-step explanation:
I did this one too but i don't if they changed the answer good luck I would double check
1.
Domain: {-1, 0, 2, 3}
Range: {2, 4, 6}
2.
Ax+By=C: linear equation standard form
y=mx+b: slope intercept form
(y-y^1)=m(x-x^1): point slope form
