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Basic Analysis and Graphing - SAS

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Chapter 5 Performing Oneway <strong>Analysis</strong> 139<br />

Means/Anova <strong>and</strong> Means/Anova/Pooled t<br />

Table 5.4 Description of Report Window Elements<br />

Element<br />

Mean diamonds are added to the<br />

Oneway plot<br />

Reference<br />

See “Display Options” on page 136 <strong>and</strong> “Mean Diamonds <strong>and</strong><br />

X-Axis Proportional” on page 143.<br />

Reports See “The Summary of Fit Report” on page 139.<br />

See “The <strong>Analysis</strong> of Variance Report” on page 141.<br />

See “The Means for Oneway Anova Report” on page 142.<br />

See “The t-test Report” on page 140.<br />

Note: This report appears only if the Means/Anova/Pooled t<br />

option is selected.<br />

See “The Block Means Report” on page 143.<br />

Note: This report appears only if you have specified a Block<br />

variable in the launch window.<br />

The Summary of Fit Report<br />

The Summary of Fit report shows a summary for a one-way analysis of variance.<br />

The report lists the following quantities:<br />

Table 5.5 Description of the Summary of Fit Report<br />

Rsquare<br />

Adj Rsquare<br />

Root Mean Square Error<br />

Mean of Response<br />

Measures the proportion of the variation accounted for by<br />

fitting means to each factor level. The remaining variation is<br />

attributed to r<strong>and</strong>om error. The R 2 value is 1 if fitting the group<br />

means accounts for all the variation with no error. An R 2 of 0<br />

indicates that the fit serves no better as a prediction model than<br />

the overall response mean. For more information, see<br />

“Statistical Details for the Summary of Fit Report” on page 181.<br />

R 2 is also called the coefficient of determination.<br />

Adjusts R 2 to make it more comparable over models with<br />

different numbers of parameters by using the degrees of<br />

freedom in its computation. For more information, see<br />

“Statistical Details for the Summary of Fit Report” on page 181.<br />

Estimates the st<strong>and</strong>ard deviation of the r<strong>and</strong>om error. It is the<br />

square root of the mean square for Error found in the <strong>Analysis</strong><br />

of Variance report.<br />

Overall mean (arithmetic average) of the response variable.

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