Lab 2: Build and Run a SmartPLS Linear Regression Model

Goal

Build a multiple regression model predicting satisfaction.

Model

Dependent variable:

SATISFACTION

Predictors:

USEFULNESS
EASE_OF_USE
TRUST
SERVICE_QUALITY

Controls:

AGE
EXPERIENCE
GENDER_MALE

Steps

Create a new model.
Add SATISFACTION as the dependent variable.
Add each predictor and control variable.
Draw arrows from all predictors to SATISFACTION.
Keep the intercept in the model.
Open Calculate.
Select Regression.
Use two-tailed test and 0.05 significance level.
Run once with normal standard errors.
Run again with HC3 or HC4 standard errors if diagnostic concerns exist.
Open the report.
Export the results.

Deliverable

Submit:

Model screenshot
Regression coefficients table
R-square and adjusted R-square
Short interpretation of each main predictor

Next Lab

Continue to Lab 3.