Rosner Table 11.4: Simple Linear Regression

RQ: Does height (cm) predict forced expiratory volume (FEV) in boys aged 10-15 years?

Ho: \[\beta \] SSI = 0 (The beta weight for height is equal to zero)

HA: \[\beta \] SSI \[\ne \] 0

The Data:

Step 1: Create the Variables

1. Start SPSS.
2. Click the Variable View tab.
3. Enter the variable names FEV and Height in the first two rows.

Step 2: Enter the Data by clicking the Data View tab and entering the information.

Step 3: Analyze the Data

1. From the menu bar, select Analyze>Regression>Linear .
2. Linear Regression dialog box opens, select the variable FEV and move it to the Dependent box.
3. Select the variable Height and move it to the Independent(s) box.
4. Click S tatistics and select Descriptives , Confidence Intervals, Model Fit, and Estimates .
5. Click C ontinue .
6. Click OK .

Step 4: Interpret the Data

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Solution: The downloadable solution consists of 5 pages, 243 words and 2 charts.
Deliverable: Word Document