Here are the results of a multiple linear regression analysis performed on a sample of federal civil servants in the National Capital. We want to predict life satisfaction as a function of four variables: the age of the participants, the number of hours per month devoted to leisure, the number of hours of work per day, and the annual income.

Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 465a 216 211 49.09679 ANOVAb Model Sum of Squares of Moan Square F Sig tableau des resultats Regression 396992.300 4 99248.075 41.173 019a Residual 1441476.027 598 2410.495 Total 1838468.327 602 Coefficientsa Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig (Constant) -28.590 10.157 -2.815 005 Age 1.175 137 317 8.594 000 Heures de loisirs par mois 1.139 148 283 7.698 000 Heures de travail par jour -2.766 1.103 -.092 -2.508 012 Revenu annuel -1.455 1.586 -.034 -.918 359