QUESTION IMAGE
Question
shanti wrote the predicted values for a data set using the line of best fit $y = 2.55x - 3.15$. she computed two of the residual values.
| $x$ | given | predicted | residual |
|---|---|---|---|
| 2 | $2.3$ | $1.95$ | $0.35$ |
| 3 | $4.1$ | $4.5$ | $a$ |
| 4 | $7.2$ | $7.05$ | $b$ |
what are the values of $a$ and $b$?
- $a = 0.4$ and $b = -0.15$
- $a = -0.4$ and $b = 0.15$
- $a = 8.6$ and $b = 14.25$
- $a = -8.6$ and $b = -14.25$
Step1: Recall Residual Formula
Residual = Given - Predicted.
Step2: Calculate \( a \)
For \( x = 3 \), Given = 4.1, Predicted = 4.5.
\( a = 4.1 - 4.5 = -0.4 \).
Step3: Calculate \( b \)
For \( x = 4 \), Given = 7.2, Predicted = 7.05.
\( b = 7.2 - 7.05 = 0.15 \).
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a = -0.4 and b = 0.15 (the second option)