The nursing instructor wishes to see whether a student's grade point average and age are related to the student's score on the state board nursing examination. She selects five students and obtains the following data. State board Student GPA.x, Age x, score y 3.2 2.7 2.5 22 27 24 550 570 525 3.4 28 23 670 2.2 490 The multiple regression equation obtained from the data is y' = -44.81 + 87.64x, + 14.533x, From this multiple regression equation predict state board score of a student who has a GPA of 3.0 and is 25 years old.

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The nursing instructor wishes to see whether a student's grade point average and age are
related to the student's score on the state board nursing examination. She selects five
students and obtains the following data.
State board
Student
GPAX,
Age x,
score y
3.2
2.7
22
A
B
550
570
27
C
2.5
3.4
24
525
670
D
28
23
E
2.2
490
The multiple regression equation obtained from the data is
y' = -44.81 + 87.64x, + 14.533x,
From this multiple regression equation predict state board score of a student who has a GPA of
3.0 and is 25 years old.
Transcribed Image Text:The nursing instructor wishes to see whether a student's grade point average and age are related to the student's score on the state board nursing examination. She selects five students and obtains the following data. State board Student GPAX, Age x, score y 3.2 2.7 22 A B 550 570 27 C 2.5 3.4 24 525 670 D 28 23 E 2.2 490 The multiple regression equation obtained from the data is y' = -44.81 + 87.64x, + 14.533x, From this multiple regression equation predict state board score of a student who has a GPA of 3.0 and is 25 years old.
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