Explore linear relationships in various contexts using scatter plots to determine lines of best fit, predict values, and analyze data trends.
Y = -0.75x + 9.75
Y = 0.75x + 8.25
Y = 0.75x + 9.75
Y = -0.75x + 8.25
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Y = 0.15x + 74.15
Y = 0.65x + 64.65
Y = -0.65x + 89.35
Y = 0.65x - 31.05
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Y = x + 4
Y = 7/3x + 2/3
Y = 7/3x + 16/3
Y = x + 2
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45 = 2.7x - 4.8b
Y = 2.7x - 4.8(45)
Y = 2.7(45) - 4.8b
45y = 2.7x - 4.8b
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1.0 tonne
1.06 tonnes
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1.6 tonnes
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52 min
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160 min
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(0.3, 1779) and (43, 33 101)
(0.5, 2813) and (3, 14 021)
(2, 12 823) and (3, 14 021)
(0.9, 4929) and (2, 12 823)
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