At a coach station, the maximum temperature in °C (x) and the number of bottles of water sold (y) were recorded over 10 consecutive days. The collected data is summarized in the table. Day 1 4 10 20 19 21 21.3 20.7 20.5 21 19.3 18.5 18 140 130 140 145 143 145 145 125 120 123 a. Plot the data points on a scatter diagram. b. Comment on the correlation. c. Find the equation of the regression line (a.k.a. line of best fit) of y on X. d. Draw the regression line on the scatter diagram. e. The temperature is predicted to be 19.5° C. Estimate how many bottles of water should be stocked according to this regression line. Justify your answer with your own interpretation based on your analysis.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
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Chapter9: Solving Quadratic Functions
Section: Chapter Questions
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At a coach station, the maximum temperature in °C (x) and the number of bottles of water
sold (y) were recorded over 10 consecutive days. The collected data is summarized in the
table.
Day
1
2
3
4
10
20
19
21
21.3
20.7
20.5
21
19.3
18.5
18
140
130
140
145
143
145
145
125
120
123
a. Plot the data points on a scatter diagram.
b. Comment on the correlation.
c. Find the equation of the regression line (a.k.a. line of best fit) of y on x.
d. Draw the regression line on the scatter diagram.
e. The temperature is predicted to be 19.5° C. Estimate how many bottles of water should be
stocked according to this regression line. Justify your answer with your own interpretation
based on your analysis.
Transcribed Image Text:At a coach station, the maximum temperature in °C (x) and the number of bottles of water sold (y) were recorded over 10 consecutive days. The collected data is summarized in the table. Day 1 2 3 4 10 20 19 21 21.3 20.7 20.5 21 19.3 18.5 18 140 130 140 145 143 145 145 125 120 123 a. Plot the data points on a scatter diagram. b. Comment on the correlation. c. Find the equation of the regression line (a.k.a. line of best fit) of y on x. d. Draw the regression line on the scatter diagram. e. The temperature is predicted to be 19.5° C. Estimate how many bottles of water should be stocked according to this regression line. Justify your answer with your own interpretation based on your analysis.
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