A business analyst wants to classify 22 successful small-to-medium size manufacturing companies into meaningful groups for future analyses. The analyst collect years the companies have been in business. The following scatterplot is showing the relationship between two variables: 50000000 40000000 30000000 20000000 10000000 ● 50 Scatterplot of Sales vs Clients 100 Clients 125 150 O The regression line have many possibilities O The regression line is the best fitted line, where the errors or residuals a the minimu O The regression line makes no sense here O We need to stratify the data

MATLAB: An Introduction with Applications
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A business analyst wants to classify 22 successful small-to-medium size manufacturing companies into meaningful groups for future analyses. The analyst collects data on the number of clients, rate of return, sales, and the
years the companies have been in business.
The following scatterplot is showing the relationship between two variables:
Sales
50000000-
40000000
30000000
20000000
10000000-
50
Scatterplot of Sales vs Clients
75
100
Clients
125
150
O The regression line have many possibilities
O The regression line is the best fitted line, where the errors or residuals are the minimum value
O The regression line makes no sense here
O We need to stratify the data
Transcribed Image Text:A business analyst wants to classify 22 successful small-to-medium size manufacturing companies into meaningful groups for future analyses. The analyst collects data on the number of clients, rate of return, sales, and the years the companies have been in business. The following scatterplot is showing the relationship between two variables: Sales 50000000- 40000000 30000000 20000000 10000000- 50 Scatterplot of Sales vs Clients 75 100 Clients 125 150 O The regression line have many possibilities O The regression line is the best fitted line, where the errors or residuals are the minimum value O The regression line makes no sense here O We need to stratify the data
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