QUESTION 2 The technical supervisor of South Africa Breweries wishes to investigate how the plant's water usag depends upon the plant's production. The production and water usage table is as shown below. Production Water Usage (ZAR million) (million m³) Janury 4.51 2.48 February March 2.26 2.47 3.58 4.31 April Мay June 5.06 2.77 5.64 2.99 4.99 3.05 3.18 |July August September October 5.29 3.46 3.03 5.83 4.70 5.61 3.26 | November |December 2.67 2.53 4.90 4.20 Table 2: SAB plant water usage data set 2.1.Plot the data on a scatter plot. [2] 2.2.List the independent and the dependent variables. [2] 2.3.Develop a regression model [16]

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
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QUESTION 2
The technical supervisor of South Africa Breweries wishes to investigate how the plant's water usage
depends upon the plant's production. The production and water usage table is as shown below.
Water Usage
(ZAR million) (million m³)
2.48
2.26
Production
4.51
Janury
February
March
3.58
4.31
2.47
Аpril
May
June
July
August
September
October
| November
| December
5.06
2.77
5.64
2.99
4.99
3.05
3.18
5.29
5.83
3.46
3.03
4.70
3.26
2.67
2.53
5.61
4.90
4.20
Table 2: SAB plant water usage data set
2.1.Plot the data on a scatter plot.
[2]
2.2.List the independent and the dependent variables.
[2]
2.3.Develop a regression model
[16]
Transcribed Image Text:QUESTION 2 The technical supervisor of South Africa Breweries wishes to investigate how the plant's water usage depends upon the plant's production. The production and water usage table is as shown below. Water Usage (ZAR million) (million m³) 2.48 2.26 Production 4.51 Janury February March 3.58 4.31 2.47 Аpril May June July August September October | November | December 5.06 2.77 5.64 2.99 4.99 3.05 3.18 5.29 5.83 3.46 3.03 4.70 3.26 2.67 2.53 5.61 4.90 4.20 Table 2: SAB plant water usage data set 2.1.Plot the data on a scatter plot. [2] 2.2.List the independent and the dependent variables. [2] 2.3.Develop a regression model [16]
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