the graph and table shows the relationship between y, the number of words jean has typed for her essay and…

the graph and table shows the relationship between y, the number of words jean has typed for her essay and x, the number of minutes she has been typing on the computer. according to the line of best fit, about how many words will jean have typed when she completes 60 minutes of typing? data x y 5 271 10 464 15 620 20 985 25 1124 30 1501 35 1718 40 2076 45 2257 linear regression y ≈ 50.307x + -11.444; r ≈ 0.996 window: -1 ≤ x ≤ 90 -100 ≤ y ≤ 4000 2,500 2,750 3,000 3,250

the graph and table shows the relationship between y, the number of words jean has typed for her essay and x, the number of minutes she has been typing on the computer. according to the line of best fit, about how many words will jean have typed when she completes 60 minutes of typing? data x y 5 271 10 464 15 620 20 985 25 1124 30 1501 35 1718 40 2076 45 2257 linear regression y ≈ 50.307x + -11.444; r ≈ 0.996 window: -1 ≤ x ≤ 90 -100 ≤ y ≤ 4000 2,500 2,750 3,000 3,250

Answer

Answer:

3,000

Explanation:

Step1: Identificar la ecuación de regresión lineal

La ecuación es $y \approx 50.307x - 11.444$.

Step2: Sustituir el valor de $x$

Sustituimos $x = 60$ en la ecuación: $y \approx 50.307\times60 - 11.444$.

Step3: Realizar el cálculo

$y \approx 3018.42- 11.444\approx3006.976\approx3000$.