R-squared measures the proportion of the variance in the dependent variable that is explained by the independent variable. It provides an indication of how well the independent variable(s) explain the variability in the dependent variable.
29.88% of 3599.90 + 5/12 of 2399.81 – 34.81% of 1200.18 = ?
(74.93% of 640.11 + 3/4 of 359.79)² - (1/3 of 80.87 × 2)² = ?
27.27% of 5501.22 + 12.53% of 158.99 –√ 1599 = ?
12.99% of 399.99 ÷ 13.17 = ? ÷ 18.15
49.99% of 539.99 + 263.98% of 49.99 = ?% of 1608.01
50.098% of 7000.072 ÷ 69.6969 + 75.093 of 15.98 = ? × 4.983
999.99 + 99.99 + 99 = ?
26.11% of ? – 521.02 = 648.51
(8.083.03 + 59.59% of 839.83) ÷ 16.06 × 24.04 = ?3 + 1012.12
3.934 - 124.07 + 35.94 + 12.83 of 4.85 - 84.76 ÷ √26 = ?3
