kiley gathered the data in the table. she found the approximate line of best fit to be y = 1.6x - 4. what is…

kiley gathered the data in the table. she found the approximate line of best fit to be y = 1.6x - 4. what is the residual value when x = 3? -1.8 -0.2 0.2 1.8 x y 0 -3 2 -1 3 -1 5 5 6 6

kiley gathered the data in the table. she found the approximate line of best fit to be y = 1.6x - 4. what is the residual value when x = 3? -1.8 -0.2 0.2 1.8 x y 0 -3 2 -1 3 -1 5 5 6 6

Answer

Explanation:

Step1: Calculate predicted y - value

Substitute $x = 3$ into $y=1.6x - 4$. So, $y_{predicted}=1.6\times3 - 4=4.8 - 4 = 0.8$.

Step2: Find residual value

Residual = Observed y - Predicted y. From the table, when $x = 3$, $y_{observed}=-1$. Then residual $=-1 - 0.8=-1.8$.

Answer:

$-1.8$