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 v

Question

2 years ago

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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 v

alues. 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

Mathematics

2 answers:

charle [14.2K] · Answer 1 · 2023-06-28T18:26:36+03:00

charle [14.2K]2 years ago

5 0

Your answer would be (B)... I just got done doing the test!!!!!!!!!!!!!

svet-max [94.6K] · Answer 2 · 2023-06-28T16:37:40+03:00

<span>Residual value is the difference between the observed value of the dependent variable (y) and the predicted value (ŷ) in a data set.

i.e. Residual value = given value - predicted value

From the table, the residual value corresponding to a has 4.1 as the given value and 4.5 as the predicted value.
Therefore, a = 4.1 - 4.5 = -0.4

Similarly, </span><span>the residual value corresponding to b has 7.2 as the given value and 7.05 as the predicted value.
Therefore, b = 7.2 - 7.05 = 0.15
</span>
Therefore, a = -0.4 and b = 0.15