PLease so the answers do not show up on google, I kindly ask that you upload a document with answers, rather than typing it out. Calculations must be correct, The question is below:

1. Give the output/calculations of the linear regression analysis done below.

2. explain why linear regression is the needed technique for predicting the dependent variable

Multiple R 0.74428 R Square 0.55396 Adjusted R: 0.54084 Standard En 0.82521 Observation 36 ANOVA F Regression 28.75467591 28.75468 42.2 .95603E-07 Residual 34 23.15282409 0.680965 Total 35 51.9075 Lower of Intercep 5.58956 0.374648648 14.91946 4.828178767 6.350934083 4.828178767 6.350934083 Program PE -0.08494 0.013071132 -6.49818 -0.111502297 -0.058374826 -0.111502297 -0.058374826 RESIDUAL OUTPUT 4.73168 0.268323046 4.6977 -0.697701529 4.82511 1.674890628 4.77415 -1.074146235 4.38343 0.316571148 4.20506 -0.505057873 4.15409 0.345905264 4.16259 -0.362588592 3.8738 0.626202517 4.01819 -0.418193038 3.95024 0.349757811 4.38343 1.616571148 13 3.62748 0.672524345 14 3.66145 -2.46145108 15 3.54254 0.557462906 16 3.55103 -0.55103095 17 3.44061 0.45938918 18 3.48308 -0.983080101 19 3.16881 0.331192577 20 3.01592 -0.415918012 21 3.13483 0.365168002 22 3.02441 -0.924411869 23 2.87152 0.028477542 24 3.06688 -0.866881149 25 2.69315 0.406848521 26 3.52555 -0.425549381 27 2.49779 0.702207212 28 2.31942 -0.519421808 29 2.32792 1.172084335 30 2.36189 0.438108911 31 2.18352 0.31647989 32 2.23448 -0.734483247 33 2.01364 0.286357013 34 1.99666 -0.796655275 35 1.85226 0.24774028 36 1.94569 0.554307862