Respuesta :
Answer:
The homework grade, to the nearest integer, for a student with a test grade of 68 is 69.
Step-by-step explanation:
The general form of the linear regression equation is:
[tex]y=a+bx[/tex]
Here,
y = dependent variable = test grade
x = independent variable = homework grade
a = intercept
b = slope
Compute the value of a and b as follows:
[tex]a=\frac{\sum Y\cdot \sum X^{2}-\sum X\cdot\sum XY}{n\cdot \sum X^{2}-(\sum X)^{2}}\\\\=\frac{(592\times 44909)-(591\times45227)}{(8\times44909)-(591)^{2}}\\\\=-14.316[/tex] [tex]b=\frac{n\cdot \sum XY-\sum X\cdot\sum Y}{n\cdot \sum X^{2}-(\sum X)^{2}}\\\\=\frac{(8\times 45227)-(591\592)}{(8\times44909)-(591)^{2}}\\\\=1.195[/tex]
The linear regression equation that represents the set of data is:
[tex]y=-14.316+1.195x[/tex]
Compute the value of x for y = 68 as follows:
[tex]y=-14.316+1.195x[/tex]
[tex]68=-14.316+1.195x\\1.195x=68+14.316\\1.195x=82.316\\x=68.884\\x\approx 69[/tex]
Thus, the homework grade, to the nearest integer, for a student with a test grade of 68 is 69.

The linear regression equation which models the relationship between homework grade and test grade and the predicted homework grade are :
- y = 1.20x - 14.32
- Predicted, x = 69
Using technology, the linear model can be obtained using either excel or a linear regression calculator.
Using a linear regression calculator which gives the linear equation in the form :
- y = bx + c
y = 1.20x - 14.32
- y = Test grade ; x = homework grade
- Slope, b = 1.20 ; intercept, c = - 14.32
Using the model equation obtained :
- Test grade, y = 68
- Homework grade, x
y = 1.20x - 14.32
68 = 1.20x - 14.32
68 + 14.32 = 1.20x
82.32 = 1.20x
x = (82.32 ÷ 1.20)
x = 68.6
x = 69 (nearest integer)
Therefore, the estimated homework grade for a test score of 68 is 69
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