Can you help me to answer the following questions? Thank you!

Data

Response Variable: x22 Predictor Variable 1: x13 Predictor Variable 2: x17 Predictor Variable 3: x18 Number of cases (rows) of data: 253 Number of cases retained for analysis: 253 BASIC ANALYSIS -- Estimated Model for x22 Estimate Std Err t-value p-value Lower 95$ Upper 95$ (Intercept) 1. 380 D. 459 3.006 0. 003 0. 476 2.285 x13 0. 274 0. 094 2. 902 0.004 0.088 0.460 x17 0 . 012 0.069 0.180 0. 858 -0. 124 0. 149 x18 0. 371 0.069 5.396 0.000 0.236 0.506 Model Fit Standard deviation of x22: 1.002 Standard deviation of residuals: 0.907 for 249 degrees of freedom 954 range of residual variation: 3.572 = 2 * (1. 970 * 0. 907) R-squared: 0. 190 Adjusted R-squared: 0.180 PRESS R-squared: 0.159 Null hypothesis of all 0 population slope coefficients: F-statistic: 19.470 df : 3 and 249 p-value: 0.000 Analysis of Variance df Sum Sq Mean Sq F-value p-value x13 24.076 24.076 29.276 0.000 x17 0. 017 0 . 017 0 . 021 0. 885 x18 23.943 23.943 29.114 0.000 Model 3 48. 037 16. 012 19.470 0.000 Residuals 249 204. 777 0. 822 x22 252 252. 814 1.003 K-FOLD CROSS-VALIDATION RELATIONS AMONG THE VARIABLES RESIDUALS AND INFLUENCE PREDICTION ERROR