Since there are 2 semesters per year we have:
(1/2)(24,870 - 7,560) = $8,655
David would have to contribute $8,655 per semester.
Let y = √4+7t
then u= 4+7t
y=√u = u^½
du/dt= 7
dy/du = ½U^-½
dy/dt = du/dt • dy/du
= 7×½U^-½
= 7/2√U
= 7 / (2{√4+7t})
If 52 toys fit into a box and there are 92 boxes then the total toys would be 52 x 92 = 4,784
Divide 84.87 by 1.15, and you get 73.8
Then you can check your work by multiplying 73.8 by 1.15 and you get 84.87
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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