Discuss the individual statistical significance of each of the preceding regression models at a 95% level of confidence, including identifying the appropriate regression statistics, statistic values, and criteria used to evaluate the individual statistical significance

UMMARY OUTPUT y = 209.7525 * Mortgage Rate^2 - 1794.9199 * Mortgage Rate + 4335.3715 Regression Statistics Multiple R 0.8212 Square 0.6744 djusted R Square 0.6630 standard Error 292.4150 observations 60 NOVA df SS MS F Significance F Regression 2 10097197.25 5048598.626 59.04342546 1.28738E-14 Residual 57 4873872.398 85506.5333 otal 59 14971069.65 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% ntercept 4335.3715 2781.8902 1.5584 0.1247 -1235.2676 9906.0106 -1235.2676 9906.0106 Mortgage Rate (X) -1794.9199 1014.4852 -1.7693 0.0822 -3826.3914 236.5516 -3826.3914 236.5516 Mortgage Rate2 209.7525 91.0532 2.3036 0.0249 27.4217 392.0833 27.4217 392.0833