Page 143 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

This ANOVA table is the regression’s hypothesis testing table. Based
on the table, it can be concluded that the regression equation is not
significant F (1,3) = .60, p=.495. Hence, the number of hours is not a
significant predictor to predict stress level.

Sample size is important factor in significant results. Sometimes you
may have small R-square but significance results because of large
sample size and a large R-square may produce non-significant result
due to small sample size

a
Coefficients
Model Unstandardized Standardized t Sig.
Coefficients Coefficients
B Std. Error Beta

(Constant) 8.333 6.383 1.306 .283
1
Sleep -.667 .861 -.408 -.775 .495
a. Dependent Variable: Stress

This third table provides the information about coefficients that
helps to construct the regression equation. According to table, we
can also see that Sleep variable is not a significant variable. The
unstandardized coefficient (b) is -.667 which we also calculated in
above example.

̂
For every one unit increase in sleep(X), Stress(Y) is predicted to
increase by 0.666 units keeping other variable(s) constant.

The Theory and Applications of Statistical Inferences 127