A Canadian grocery store chain has just acquire another chain of
grocery stores with different target customers from the first.
Before reviewing its new product distribution policy, following
this acquisition, the chain of stores appointed an analyst to study
the markets represented by urban agglomerations whose populations
are located between 23,000 and 110,000 inhabitants. To do this, we
analyze the data relating to a sample of 49 branches of the chain.
The variables on which the information collected relates are:
• VNT, the branch's annual sales volume in thousands of $ for the
previous year;
• POP, the estimated population in thousands of inhabitants of the
urban agglomeration served by the branch during the previous
year;
• NBM, the number of stores, of the same type as those of the chain studied, in operation for a year in the urban area served by the branch (this number includes the branch).
Branches |
VNT |
POP |
NBM |
S1 |
4 197 |
89,5 |
8 |
S2 |
4 622 |
92,6 |
8 |
S3 |
4 721 |
96,3 |
8 |
S4 |
6 817 |
98,4 |
7 |
S5 |
6 747 |
99,5 |
7 |
S6 |
4 830 |
25,4 |
2 |
S7 |
3 490 |
27,3 |
3 |
S8 |
3 785 |
30,4 |
3 |
S9 |
2 785 |
33,6 |
4 |
S10 |
5 608 |
36,0 |
3 |
S11 |
4 753 |
75,9 |
7 |
S12 |
6 516 |
77,0 |
5 |
S13 |
7 552 |
81,3 |
5 |
S14 |
5 166 |
86,2 |
7 |
S15 |
4 652 |
87,5 |
8 |
S16 |
4 021 |
39,2 |
4 |
S17. |
7 509 |
42,9 |
3 |
S18 |
5 750 |
43,6 |
4 |
S19 |
5 750 |
47,2 |
4 |
S20 |
2 370 |
47,7 |
6 |
S21 |
3 490 |
65,7 |
7 |
S22 |
8 759 |
66,3 |
4 |
S23 |
3 325 |
69,2 |
7 |
S24 |
7 583 |
71,1 |
5 |
S25 |
6 247 |
71,4 |
5 |
S26 |
3 170 |
62,4 |
6 |
S27 |
8 406 |
63,4 |
4 |
S28 |
3 915 |
64,9 |
7 |
S29 |
3 323 |
65,5 |
7 |
S30 |
4 892 |
50,2 |
5 |
S31 |
9 692 |
51,5 |
3 |
S32 |
3 800 |
52,1 |
5 |
S33 |
4 896 |
65,1 |
5 |
S34 |
7 612 |
61,1 |
4 |
S35 |
6 737 |
99,5 |
7 |
S36 |
4 820 |
25,4 |
2 |
S37 |
3 480 |
27,3 |
3 |
S38 |
3 775 |
30,4 |
3 |
S39 |
2 775 |
33,6 |
4 |
S40 |
5 600 |
36 |
3 |
S41 |
4 743 |
75,9 |
7 |
S42 |
6 507 |
77 |
5 |
S43 |
7 542 |
81,3 |
5 |
S44 |
5 146 |
86,2 |
7 |
S45 |
4 642 |
87,5 |
8 |
S46 |
4 011 |
39,2 |
4 |
S47 |
7 500 |
42,9 |
3 |
S48 |
5 740 |
43,6 |
4 |
S49 |
5 750 |
47,2 |
4 |
After rejecting the first model tested, the analyst tries a second in which the sales volume of a branch is explained by potential customers that it serves, which he defines as the estimated population of the agglomeration served divided by the number of stores of the same type as the chain studied for this city. It is therefore necessary to define a new variable POPL = POP/ NBM and to postulate model 2: VNT = b0 + b1 POPL. With Excel's Graphical Assistant, draw the point cloud by taking as x-axis (X) the variable "POPL" and as y-axis (Y) the variable "VNT
Does the new point cloud suggest a linear connection between these two variables: VNT and POPL? Explain
According to,
model 2: VNT = b0 + b1 POPL. With Excel's Graphical Assistant, draw the point cloud by taking as x-axis (X) the variable "POPL" and as y-axis (Y) the variable "VNT
I made a graph on excel and it looks like that
So, its clear that its not a linear connection.
Again to prove that its not a linear connection, I made a second attempt. In this try, with the help of the POPL and VNT data we try to find the B1 and B0 (from: VNT = b0 + b1 POPL)
If the b0 and b1 found to be constant for the all given data then its concluded that VNT and POPL has a linear connection.
Formula for b1 and b0 are as follows..
(b0)1 = (VNT)1 - {(b1)1*(POPL)1}
Branches | POP (in thousand) | NBM | POPL | VNT (thousands of $) | B1 | B0 |
s1 | 895 | 8 | 112 | 4197 | 110 | -8073 |
S2 | 926 | 8 | 116 | 4622 | 21 | 2144 |
S3 | 963 | 8 | 120 | 4721 | 104 | -7772 |
S4 | 984 | 7 | 141 | 6817 | -45 | 13079 |
S5 | 995 | 7 | 142 | 6747 | 127 | -11247 |
S6 | 254 | 2 | 127 | 4830 | 37 | 103 |
S7 | 273 | 3 | 91 | 3490 | 29 | 892 |
S8 | 304 | 3 | 101 | 3785 | 58 | -2061 |
S9 | 336 | 4 | 84 | 2785 | 78 | -3802 |
S10 | 360 | 3 | 120 | 5608 | 74 | -3259 |
S11 | 759 | 7 | 108 | 4753 | 39 | 558 |
S12 | 770 | 5 | 154 | 6516 | 120 | -12036 |
S13 | 813 | 5 | 163 | 7552 | 60 | -2281 |
S14 | 862 | 7 | 123 | 5166 | 37 | 569 |
S15 | 875 | 8 | 109 | 4652 | 55 | -1415 |
S16 | 392 | 4 | 98 | 4021 | 78 | -3575 |
S17. | 429 | 3 | 143 | 7509 | 52 | 111 |
S18 | 436 | 4 | 109 | 5750 | 0 | 5750 |
S19 | 472 | 4 | 118 | 5750 | 88 | -4609 |
S20 | 477 | 6 | 80 | 2370 | 78 | -3832 |
S21 | 657 | 7 | 94 | 3490 | 73 | -3389 |
S22 | 663 | 4 | 166 | 8759 | 81 | -4706 |
S23 | 692 | 7 | 99 | 3325 | 98 | -6387 |
S24 | 711 | 5 | 142 | 7583 | -2227 | 324215 |
S25 | 714 | 5 | 143 | 6247 | 79 | -5078 |
S26 | 624 | 6 | 104 | 3170 | 96 | -6822 |
S27 | 634 | 4 | 159 | 8406 | 68 | -2414 |
S28 | 649 | 7 | 93 | 3915 | -691 | 67950 |
S29 | 655 | 7 | 94 | 3323 | 230 | -18177 |
S30 | 502 | 5 | 100 | 4892 | 67 | -1870 |
S31 | 515 | 3 | 172 | 9692 | 87 | -5300 |
S32 | 521 | 5 | 104 | 3800 | 42 | -592 |
S33 | 651 | 5 | 130 | 4896 | 120 | -10786 |
S34 | 611 | 4 | 153 | 7612 | 82 | -4989 |
S35 | 995 | 7 | 142 | 6737 | 127 | -11257 |
S36 | 254 | 2 | 127 | 4820 | 37 | 93 |
S37 | 273 | 3 | 91 | 3480 | 29 | 882 |
S38 | 304 | 3 | 101 | 3775 | 58 | -2071 |
S39 | 336 | 4 | 84 | 2775 | 78 | -3817 |
S40 | 360 | 3 | 120 | 5600 | 74 | -3287 |
S41 | 759 | 7 | 108 | 4743 | 39 | 546 |
S42 | 770 | 5 | 154 | 6507 | 120 | -12027 |
S43 | 813 | 5 | 163 | 7542 | 61 | -2332 |
S44 | 862 | 7 | 123 | 5146 | 37 | 638 |
S45 | 875 | 8 | 109 | 4642 | 55 | -1425 |
S46 | 392 | 4 | 98 | 4011 | 78 | -3587 |
S47 | 429 | 3 | 143 | 7500 | 52 | 98 |
S48 | 436 | 4 | 109 | 5740 | 1 | 5619 |
S49 | 472 | 4 | 118 | 5750 | 49 | 0 |
I found that b0 and b1 from the S1 branch to S49 branch are not constant and varies too much.
Hence proved that two variable VNT and POPL are not in linear conncetion.
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