The table shows the reduction in costs (in hundreds) after a manager found ways each month to cut back in his store. identify the best fit mathematical model with its corresponding r^2 value and tell whether it is a good model.
month: 1. 2. 3. 4. 5
profit loss: 86. 82. 72. 45. 15

a: quadratic model, 0.997
no 0.997 is too high an r^2 value.
b: quadratic model, 0.997
yes, 0.997 is very close to 1.
c. linear model, 0.902
no, 0.902 is too high an r^2 value.
d. linear model, 0.902
yes, 0.902 is very close to 1.

  B: quadratic model, 0.997

  Yes, 0.997 is very close to 1.

Step-by-step explanation:

In general, the better the model, the closer the R²-value is to 1. A graph shows the quadratic model to be a good fit.

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Comment on "better models"

A 4th-degree polynomial can be written that will fit each of the 5 points exactly and give an R²-value of 1. However, the model does not appear to interpolate or extrapolate well. The quadratic offers a reasonable fit that is better than that of the linear model and seems to have reasonable behavior between and beyond the given data points.

6, 10

9, -13

12, -21

18, -23

step-by-step explanation:

you just add 6 to the x-coordinate and subtract 10 from the y-coordinate.