Hi, with this question we are allowed to use pom Software, please see attached

Insurance 500 400 350 510 465 300 335 410 285 400 Age 18 22 25 28 27 45 40 26 50 30 Accidents 1 2 3 6 2 4 3 5 1 2 Curly, manager of Three Stooges Insurance, collected data on insurance rates among 10 different people. He collected ages of each member, as well as the number of accidents. He is interested in seeing whether the rate correlates to age and accidents. Run a regression analysis and report the regression equation. Report both the regression equation and the regression coefficients b_0, b_1, and b_2. Interpret the meaning of b_0, b_1, and b_2 within the context of this question. Using your age and number of accidents, predict your insurance rate based on the regression analysis. If you wish not to expose either, create fictional ages and accidents. Give at least 2 reasons (at least one statistical) why this analysis is inappropriate to predict insurance rates for 10-year old Taylor