The chart represents a data set’s given values, predicted values (using a line of best fit for the data), and residual values. which are the missing residual values? g = 2 and h = –1 g = 28 and h = 39 g = –2 and h = 1 g = –28 and h = –39

The residual value is the difference between the observed/given value of the dependent variable (y) and the predicted value (ŷ).
i.e. residual value = given value - predicted value

From the given table, g is the residual value where the given value is 13 and the predicted value is 15.
Thus, g = 13 - 15 = -2

h is the residual value where the given value is 20 and the predicted value is 19.
Thus, h = 20 - 19 = 1

Therefore, g = –2 and h = 1

I'll do the first one for you. it isn't very hard at all.on number one, you have (50 × 3), which equals 150, and (3 × 3), which equals 9. after you establish that, you add 150 and 9 together. so, (150 + 9) equals 159.this means that 53 × 3 = 159.