- evaluate the reliability and precision of the regression- using the regression, predict the monthly expenses for 2022.

A B C D E F G 28 a.) Least-Squares Regression 29 30 Regression Statistics 31 Multiple R 0.865932738 32 R Square 0.749839507 33 Adjusted R Square 0.738468576 34 Standard Error 314.8830556 35 Observations 24 36 37 ANOVA 38 df SS MS F Significance F 39 Regression 1 6538390.548 6538390.548 65.9435428 4.6011E-08 40 Residual 22 2181329.452 99151.33871 41 Total 23 8719720 42 43 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 44 Intercept 1595.7597 158.974337 10.03784466 1.1269E-09 1266.0671 1925.4523 1266.0671 1925.4523 45 Sales (Units) 3.704767577 0.456220535 8.120562961 4.6011E-08 2.7586241 4.65091106 2.7586241 4.65091106 46 47 48