The accompanying values are a set of data for y, the amount of money (in thousands of dollars) contributed to the alumni association at a certain university from a certain graduate class, and x, the number of years following graduation for that class. Complete parts (a) through (c) below. Click the icon to view the contribution data. (a) Fit a regression model of the type μy|x = ẞo +B1×1. ŷ= +()×1 (Round to the nearest integer as needed.) (b) Fit a quadratic model of the type µ×¡× = ß + ß₁×₁ +ß₁1ײ. ŷ= +( )x+() x² (Round the x-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest integer as needed.) (c) Determine which of the models in (a) or (b) is preferable. Use s², R2, and the PRESS residuals to support the decision. Compute s² for each model. Model Hylx =Bo+B₁x₁ Hyx = Bo+B1x1 +11x s² (Round to the nearest integer as needed.) Contribution Data y x y x 812.48 1 2752.00 11 824.50 2 4391.50 12 1210.50 3 5580.50 1348.00 4 5549.00 1301.00 8 6089.00 15 2566.50 9 5763.00 2529.50 10 8901.00 34567 13 14 16 17

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I need help with this question parts a to c, fill the blanks please. I need a clear answer and make sure to round as required in each part, thanks.

The accompanying values are a set of data for y, the amount of money (in thousands of dollars) contributed to the
alumni association at a certain university from a certain graduate class, and x, the number of years following
graduation for that class. Complete parts (a) through (c) below.
Click the icon to view the contribution data.
(a) Fit a regression model of the type μy|x = ẞo +B1×1.
ŷ=
+()×1
(Round to the nearest integer as needed.)
(b) Fit a quadratic model of the type µ×¡× = ß + ß₁×₁ +ß₁1ײ.
ŷ= +(
)x+() x²
(Round the x-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest
integer as needed.)
(c) Determine which of the models in (a) or (b) is preferable. Use s², R2, and the PRESS residuals to support the
decision.
Compute s² for each model.
Model
Hylx =Bo+B₁x₁
Hyx = Bo+B1x1 +11x
s²
(Round to the nearest integer as needed.)
Transcribed Image Text:The accompanying values are a set of data for y, the amount of money (in thousands of dollars) contributed to the alumni association at a certain university from a certain graduate class, and x, the number of years following graduation for that class. Complete parts (a) through (c) below. Click the icon to view the contribution data. (a) Fit a regression model of the type μy|x = ẞo +B1×1. ŷ= +()×1 (Round to the nearest integer as needed.) (b) Fit a quadratic model of the type µ×¡× = ß + ß₁×₁ +ß₁1ײ. ŷ= +( )x+() x² (Round the x-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest integer as needed.) (c) Determine which of the models in (a) or (b) is preferable. Use s², R2, and the PRESS residuals to support the decision. Compute s² for each model. Model Hylx =Bo+B₁x₁ Hyx = Bo+B1x1 +11x s² (Round to the nearest integer as needed.)
Contribution Data
y
x
y
x
812.48
1
2752.00
11
824.50
2
4391.50
12
1210.50
3
5580.50
1348.00
4
5549.00
1301.00
8
6089.00
15
2566.50
9
5763.00
2529.50
10 8901.00
34567
13
14
16
17
Transcribed Image Text:Contribution Data y x y x 812.48 1 2752.00 11 824.50 2 4391.50 12 1210.50 3 5580.50 1348.00 4 5549.00 1301.00 8 6089.00 15 2566.50 9 5763.00 2529.50 10 8901.00 34567 13 14 16 17
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