The given equation is the best line that approximates the linear
relationship between the midterm score and the score in the final exam.
- AJ's residual is 0.3, which is not among the given options, therefore, the correct option is. <u>E. None of these</u>.
Reasons:
The given linear regression line equation is;
= 25.5 + 0.82·
Where;
= Final exam score;
= The midterm score;
AJ score in the first test,
= 90
AJ's actual score in the exam = 99
Required:
The value of AJ's residual
Solution:
By using the regression line equation, we have;
The predicted exam score,
= 25.5 + 0.82 × 90 = 99.3
- The residual score = Predicted score - Actual score
∴ AJ's residual = 99.3 - 99 = 0.3
AJ's residual = 0.3
Therefore, the correct option is option E;
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In order to answer this question the parts must be broken down: 8^3 is
8*8*8 which equals 512 and 8^5 is 8*8*8*8*8 which equals 32761.
512*32761 equals 16777216. 167772176 is greater than 1.
The answer would be C. because you have to multiply all of the numbers and then divide by the 90 degree angle.
A reflection over the Y-axis would be the flipped point or set of points across the y axis while still retaining the same distance from the y-axis.
:)