Answer:
look i need help on the smae thing so sorry
Step-by-step explanation:
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·![\mathbf{\hat x}](https://tex.z-dn.net/?f=%5Cmathbf%7B%5Chat%20x%7D)
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;
Learn more about regression line equation here:
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Answer:
1
Step-by-step explanation:
We can use the slope formula
m = ( y2-y1)/(x2-x1)
= ( 4-2)/(1 - -1)
= (4-2)/(1+1)
= 2/2
= 1
Convert into like fractions -->
1/3 = 7/21 4/7 = 12/21
7+12 = 19
19/21 is spent therefore he has 2/21 left
Answer:
a = b / 6
Step-by-step explanation: