Temperature The table shows the temperatures y (in degrees Fahrenheit) in a city over a 24-hour period. Let x represent the time of day, where x = 0 corresponds to 6 A.M. Time, x Temperature, y 0 34 2 50 4 60 6 64 8 63 10 59 12 53 14 46 16 40 18 36 20 34 22 37 24 45 These data can be approximated by the model y = 0.026 x 3 − 1.03 x 2 + 10.2 x + 34 , 0 ≤ x ≤ 24 (a) Use a graphing utility to create a scatter plot of the data. Then graph the model in the same viewing window. (b) How well does the model fit the data? (c) Use the graph to approximate the times when the temperature was increasing and decreasing. (d) Use the graph to approximate the maximum and minimum temperature during this 24-hour period. (e) Could this model predict the temperatures in the city during the next 24-hour period? Why or why not?
Temperature The table shows the temperatures y (in degrees Fahrenheit) in a city over a 24-hour period. Let x represent the time of day, where x = 0 corresponds to 6 A.M. Time, x Temperature, y 0 34 2 50 4 60 6 64 8 63 10 59 12 53 14 46 16 40 18 36 20 34 22 37 24 45 These data can be approximated by the model y = 0.026 x 3 − 1.03 x 2 + 10.2 x + 34 , 0 ≤ x ≤ 24 (a) Use a graphing utility to create a scatter plot of the data. Then graph the model in the same viewing window. (b) How well does the model fit the data? (c) Use the graph to approximate the times when the temperature was increasing and decreasing. (d) Use the graph to approximate the maximum and minimum temperature during this 24-hour period. (e) Could this model predict the temperatures in the city during the next 24-hour period? Why or why not?
Temperature The table shows the temperatures y (in degrees Fahrenheit) in a city over a 24-hour period. Let x represent the time of day, where
x
=
0
corresponds to 6 A.M.
Time, x
Temperature, y
0
34
2
50
4
60
6
64
8
63
10
59
12
53
14
46
16
40
18
36
20
34
22
37
24
45
These data can be approximated by the model
y
=
0.026
x
3
−
1.03
x
2
+
10.2
x
+
34
,
0
≤
x
≤
24
(a) Use a graphing utility to create a scatter plot of the data. Then graph the model in the same viewing window.
(b) How well does the model fit the data?
(c) Use the graph to approximate the times when the temperature was increasing and decreasing.
(d) Use the graph to approximate the maximum and minimum temperature during this 24-hour period.
(e) Could this model predict the temperatures in the city during the next 24-hour period? Why or why not?
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