Rosner 11.9: Multiple Linear Regression Investigators wished to estimate parameters for infant systolic

Rosner 11.9: Multiple Linear Regression

Investigators wished to estimate parameters for infant systolic blood pressure (mm Hg) predicted from knowledge of birth weight (oz) and age (days) of the infant. Please see Rosner’s discussion on pages 469 to 483.

Research Questions:

Does birth weight predict systolic blood pressure in infants?

Does age predict systolic blood pressure in infants?

When taken together, do birth weight and age predict systolic blood pressure in infants?

Ho: \[\beta \] birth weight = 0

Ho: \[\beta \] age = 0

Ho: R \[^{2}\] = 0 (taken together)

Infant	Birth weight (oz)	Age (days)	Systolic Blood Pressure	Infant	Birth Weight (oz)	Age (days)	Systolic Blood Pressure
1	135	3	89	9	120	5	96
2	120	4	90	10	90	4	95
3	100	3	83	11	120	2	80
4	105	2	77	12	95	3	79
5	130	4	92	13	120	3	86
6	125	5	98	14	150	4	97
7	125	2	82	15	160	3	92
8	105	3	85	16	125	3	88

Step 1: Create the Variables

Start SPSS.
Click the Variable View tab.
Enter the variable names systolic blood pressure ( SBP ) , birth weight (bwgt) , and age in the first three rows.

Step 2: Enter the Data

Step 3: Analyze the Data

From the menu bar, select Analyze>Regression>Linear .
A Linear Regression dialog box appears with the variables SBP , bwgt , and age on the left-hand side.
Select the variable SBP and move it into the Dependent box.
Select the variables bwgt and age and move them into the Independents box.
Select Statistics button and in the dialog box select Descriptives .
Click Continue .
Click OK .