K. M N S SUMMARY OUTPUT Regression Statistics Multiple R 0.97309221 R Square 0.946908448 Adjusted R Square 0.944143263 Standard Error 2055.64333 Observations 102 ANOVA df SS MS F Significance F Regression 5 7235179873 1.4E+09 342.439 1.5184E-59 Residual 96 405664271.9 4225669 Total 101 7640844145 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 10710.64278 4260.976308 -2.51366 0.01361 -19168.61391 -2252.671659 -19168.61391 -2252.671659 Age 318.6649626 60.98611242 5.22521 1E-06 197.6084862 439.721439 197.6084862 439.721439 Education 621.8603472 318.9595184 1.94965 0.05414 -11.26929279 1254.989987 -11.26929279 1254.989987 Income 0.146323453 0.040781001 3.58803 0.00053 0.065373806 0.227273101 0.065373806 0.227273101 Home Value 0.009183067 0.011038075 0.83194 0.4075 -0.012727338 0.031093473 -0.012727338 0.031093473 Wealth 0.074331533 0.011189265 6.64311 1.8E-09 0.052121017 0.096542049 0.052121017 0.096542049 QUESTION 1: Which independent variables affect account balance with at least 90% confidence level? How do you know? ANSWER 1:The independent variables that affect account balance with at least 90% confidence level are education, age, and income. This can be determined by looking at the p- values for these variables. They are all less than 0.05, meaning that they are statistically significant at the 95% confidence level. QUESTION 2: Consider the variable "Education". By how much (in dollars) is the account balance predicted to change with each additional year of education? How do you know