maria gathered the data in the table. she finds the line of best fit to be y = 2.78x - 4.4. what is the…

maria gathered the data in the table. she finds the line of best fit to be y = 2.78x - 4.4. what is the residual value when x = 4? -6.72 -0.58 0.58 6.72 x y 1 -2 2 1.3 3 4.2 4 7.3 5 8.9

maria gathered the data in the table. she finds the line of best fit to be y = 2.78x - 4.4. what is the residual value when x = 4? -6.72 -0.58 0.58 6.72 x y 1 -2 2 1.3 3 4.2 4 7.3 5 8.9

Answer

Answer:

0.58

Explanation:

Step1: Calculate predicted value

When $x = 4$, $y_{predicted}=2.78\times4 - 4.4=11.12 - 4.4 = 6.72$

Step2: Calculate residual value

Residual = $y_{actual}-y_{predicted}$. From the table, when $x = 4$, $y_{actual}=7.3$. So residual = $7.3 - 6.72=0.58$