Construct a linear regression model that uses Units to predict Prod Cost. Round the model's coefficients to three decimal places; add trailing zeros as needed.
The regression model is ŷ = +
46.75 92.64
42.18 88.81
41.86 86.44
43.29 88.8
42.17 86.38
41.78 89.87
41.47 88.53
42.21 91.11
41.03 81.22
39.84 83.72
39.15 84.54
39.2 85.66
39.52 85.87
38.05 85.23
39.16 87.75
38.59 92.62
36.54 91.56
37.03 84.12
36.6 81.22
37.58 83.35
36.48 82.29
38.25 80.92
37.26 76.92
38.59 78.35
40.89 74.57
37.66 71.6
38.79 65.64
38.78 62.09
36.7 61.66
35.1 77.14
33.75 75.47
34.29 70.37
32.26 66.71
30.97 64.37
28.2 56.09
24.58 50.25
20.25 43.65
17.09 38.01
14.35 31.4
13.11 29.45
9.5 29.02
9.74 19.05
9.34 20.36
7.51 17.68
8.35 19.23
6.25 14.92
5.45 11.44
3.79 12.69
