1) A company is about to change the way it inspects its product. Experiments were done with differing number of inspections, and the following data shows how average number of defects varies with the number of inspections:
Inspections (x) |
0 |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
Defects (y) |
92 |
86 |
81 |
72 |
67 |
59 |
53 |
43 |
32 |
24 |
12 |
The following quantities were obtained: n = 11; ∑x=55; ∑y=621 ; ∑x2=385 ; ∑y2=41,977 ; ∑xy=2238, X-bar=5 ; y-bar=56.45 ; Sxx=110; Syy=6918.73 ; Sxy= - 687
a) Find the linear regression model.
b) Construct the ANOVA table.
Inspections (x) | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
Defects (y) | 92 | 86 | 81 | 72 | 67 | 59 | 53 | 43 | 32 | 24 | 12 |
a) The regression model as
Sum of X = 55
Sum of Y = 621
Mean X = 5
Mean Y = 56.4545
Sum of squares (SSX) = 110
Sum of products (SP) = -867
Regression Equation = ŷ = bX + a
b = SP/SSX = -867/110 = -7.88182
a = MY - bMX = 56.45 - (-7.88*5) = 95.86364
ŷ = -7.88182X + 95.86364
Hence regression model as
ŷ = -7.88182X + 95.86364
Graph.
b) Summary of data as
Summary of Data | ||||||
Treatments | ||||||
1 | 2 | 3 | 4 | 5 | Total | |
N | 11 | 11 | 22 | |||
∑X | 55 | 621 | 676 | |||
Mean | 5 | 56.4545 | 30.7273 | |||
∑X2 | 385 | 41977 | 42362 | |||
Std.Dev. | 3.3166 | 26.3035 | 32.0642 |
Result Details | ||||
Source | SS | df | MS | |
Between-treatments | 14561.64 | 1 | 14561.64 | F = 41.43463 |
Within-treatments | 7028.727 | 20 | 351.4364 | |
Total | 21590.36 | 21 |
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