Discuss your results and the ability of the regression to accurately make predictions.And What are 2 assumptions of linear regression?

Table 1: Effect of diet crude protein (%) on chick weight at 30 days (g) SUMMARY OUTPUT Chick weight at 30 days Diet crude protein (%) (g) 12 211 Regression Statistics 14 220 Multiple R 0.99196 16 232 R Square 0.983984 18 243 Adjusted R Square 0.982528 20 269 Standard Error 11.38264 22 306 Observations 13 24 331 26 340 ANOVA 28 389 df SS MS F gnificance F 30 395 Regression 1 87560.79 87560.79 675.8088 3.16E-11 32 416 Residual 11 1425.209 129.5644 34 424 Total 12 88986 36 462 Coefficient:andard Err t Stat P-value Lower 95%Upper 95%ower 95.09 pper 95.0% Intercept 62.79121 10.60561 5.920564 0.0001 39.44841 86.134 39.44841 86.134 X Variable 1 10.96703 0.421869 25.99632 3.16E-11 10.03851 11.89556 10.03851 11.89556Chick weight at 30 days (g) 500 450 400 350 300 250 chinken weight at 30 days(gm) 200 150 100 50 0 5 10 15 20 25 30 35 40 Diet crude protein (%)