Problem 2: Suppose data were collected from a sample of 10 branches of a fast food chain located near College and University campuses in Baguio. Student Population (in 1000s) 2 6 8 12 14 18 20 24 26 28 Quarterly Sales (in Php 10,000) 58 105 88 118 117 137 157 169 149 202 b. Develop the estimated linear regression equation that could be used to predict the quarterly sales from the student population. Draw the graph of the of linear regression equation developed. e. Is there a difference between the coefficients of correlations computed using Pearson vs Spearman Rank? Explain the difference (if there is).

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Problem 2: Suppose data were collected from a sample of 10 branches of a fast food chain located near
College and University campuses in Baguio.
Student Population
(in 1000s)
2
6
8
12
e.
14
18
20
24
26
28
Quarterly Sales
(in Php 10,000)
58
105
88
118
117
137
157
169
149
202
b. Develop the estimated linear regression equation that could be used to predict the quarterly sales
from the student population. Draw the graph of the of linear regression equation developed.
Is there a difference between the coefficients of correlations computed using Pearson vs Spearman
Rank? Explain the difference (if there is).
Transcribed Image Text:Problem 2: Suppose data were collected from a sample of 10 branches of a fast food chain located near College and University campuses in Baguio. Student Population (in 1000s) 2 6 8 12 e. 14 18 20 24 26 28 Quarterly Sales (in Php 10,000) 58 105 88 118 117 137 157 169 149 202 b. Develop the estimated linear regression equation that could be used to predict the quarterly sales from the student population. Draw the graph of the of linear regression equation developed. Is there a difference between the coefficients of correlations computed using Pearson vs Spearman Rank? Explain the difference (if there is).
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