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. 2023 May 12;13(10):1630. doi: 10.3390/ani13101630

Table 4.

Summary of multiple regression analysis: variables predicting the time spent by cats roaming freely outside.

95% CL
Predictors B LB UB sr2 r
Capability −0.36 −0.38 −0.33 0.12 −0.65 **
Social opportunity 0.01 −0.03 0.04 0.00 −0.48 **
Cat welfare motivation −0.10 −0.13 −0.07 0.01 −0.55 **
Community motivation −0.11 −0.14 −0.08 0.01 −0.52 **
Cat owner age 0.00 −0.00 0.00 0.00 0.04 *
Cat owner gender 0.04 −0.01 0.08 0.00 0.05 **
Location −0.01 −0.05 0.03 0.00 0.01
Type of dwelling 0.16 0.12 0.21 0.01 0.17 **
Access to outdoor space 0.04 −0.01 0.09 0.00 0.06 **
Home ownership 0.06 0.02 0.11 0.00 0.10 **
Number of cats owned 0.01 −0.01 0.02 0.00 −0.03

Model: R = 0.69, R2 = 0.47, Adjusted R2 = 0.47, F = 337.54 and p < 0.001. B unstandardised beta coefficient, CL Confidence limits, LB Lower boundary, UB upper boundary, sr2 squared semi-partial correlation (unique variation explained by each predictor), r Pearson correlation, * significant at 0.05 level (2 tailed) and ** significant at 0.01 level (2 tailed). Note R2 is not just the sum of all the individual squared semi-partial correlations but also constitutes a portion that is due to within correlation between two independent variables.