You ran the regression on Excel and below s ssion output Agression States Multiple 0.909093871 A Square Adjated R 0827542919 Square Standard Emer 017904643 24 ANOVA Significance 4 55 Regression Residual Total 13383813255 3.383813238 1055679808 7.55684-10 22 0705174873 0032053403 23 408126 Standard Forge St Probe Lower 91N Intercept Conficients Upper 95% 4.701057009 0158573166 27.88700801 1161818-18 4351453517 5.050640506 0000875416 000001146 102746783 7354841-30 0.007882121 001106471 1. Interpret the estimated parameter of ads (81), (2 marks] Using the t-test, is the intercept parameter (80) statistically significant? (2 marks] 1. Using the confidence interval approach, is the parameter of ads (81) statistically significant? (2 marks) 4. Interpret R-square for the above regression (write down what it means) (2 marks) ENGEDUSTE O SV. You ran the regression on Excel and below s ssion output Agression States Multiple 0.909093871 A Square Adjated R 0827542919 Square Standard Emer 017904643 24 ANOVA Significance 4 55 Regression Residual Total 13383813255 3.383813238 1055679808 7.55684-10 22 0705174873 0032053403 23 408126 Standard Forge St Probe Lower 91N Intercept Conficients Upper 95% 4.701057009 0158573166 27.88700801 1161818-18 4351453517 5.050640506 0000875416 000001146 102746783 7354841-30 0.007882121 001106471 1. Interpret the estimated parameter of ads (81), (2 marks] Using the t-test, is the intercept parameter (80) statistically significant? (2 marks] 1. Using the confidence interval approach, is the parameter of ads (81) statistically significant? (2 marks) 4. Interpret R-square for the above regression (write down what it means) (2 marks) ENGEDUSTE O SV