IM Alg1.3.5 Practice: Fitting Lines

Here is a table:
[img]data:image/png;base64,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[/img][br]
Use graphing technology to create a scatter plot and find the best fit line.
What does the best fit line estimate for the [math]y[/math] value when [math]x[/math] is 100?[br]
Use this applet to answer the questions below.
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mqyq38wAfX3vKnH7oCw61O+G9TSLlC1nbDQdusOhppite7VdrbaqmupT41mt1/1tG5xDBP29vau27J5qZi19zTFruWQ90faStoNkBQnZ5khc7MIQAEIoDwOT0ClHtk3znsWaTSHAVrbWRHF5sth6467pYmaYss2mnsZaFZ9tb40ml0B5Wt3S0HSbm0z11qR8kxTrMRqzvkAyndh1LTVxmg0uwLKhUmB2uKsy4im2FxfyzWW6YitPDWawwDBAMDRzgqZRVqgpcGaYss22ntZ5uY+T7V5yjiN5mEAjTyDbgpArVscX7p0aX9AiQEtn1v7jf93oRmNZZu5+5G2knabQVia8m9luM6XK5khWCZkOcvjrcuHFyAZLLm2iM8fDA6NZjdAc6Ox13NNsb20aPvRaCYgrZsBcQQUYKpnSgLydDMgFwEFmOqZkoA83QzIRUABpnqmJCBPNwNyEVCAqZ4pCcjTzYBcBBRgqmdKAvJ0MyAXAQWY6pmSgDzdDMhFQAGmeqYkIE83A3IRUICpnikJyNPNgFwEFGCqZ0oC8nQzIBcBBZjqmdIECI35ivdgDTh/NLLmUOD7phkUqCsktabYkI4NSTWaOYMMBlubEpDVweD2BBRssDU9AVkdDG5PQMEGW9MTkNXB4PYEFGywNT0BWR0Mbk9AwQZb0xOQ1cHg9gQUbLA1PQFZHQxuT0DBBlvTE5DVweD2BBRssDU9AVkdDG5PQMEGW9MTkNXB4PYEFGywNT0BWR0Mbk9AwQZb03cHhB2r8l2i1nawKnfIynfHai1eU2wtZ6lhNM1uv+rBdmPYzlgO2X5sznQ8z3djlPitO+tuAYQ+T548mbAFGQ7ZJm0O0i40uwESMHKWfdfmisXz/D2JnwMqeefOWwDVcpUQ8phdaA4DhEKXNsKTTWdlxuC8FJ8bVbv2BDS38+MuNLsCkiUCn0NzRebm5vH5cpfHaK89AGlmcW/NroByM2W0zS1Z5YxBHMDi+ZbDAxA0LA2sXWgOAwSTUXBtZsgoLOFhjV8yaAmcFdCcVulzV5p3CqicLWsmiVm1swWQpl8B1FuzG6DWbZkxW/LZJQaUs6oGo/ZsK6BSR55bNCEGRxkr70dqdgMEkfkfqbjOhcvfOVKsFJy3yeNzozTXWwDVNEOPfJscQbMbII2JkTFbAEXq0eTWaCYgjZNBMQQUZKxXWgLycjIoDwEFGeuVloC8nAzKQ0BBxnqlJSAvJ4PyEFCQsV5pCcjLyaA8BBRkrFdaAvJyMigPAQUZ65WWgLycDMpDQEHGeqUlIC8ng/IQUJCxXmkJyMvJoDwEFGSsV1oC8nIyKA8BBRnrldYECI35ivdgDXb1RyNrjfh+Pwf+C3Brp1yf95RpAAAAAElFTkSuQmCC[/img][br]What is the equation of the line of best fit? Round numbers to 2 decimal places.
What does the equation estimate for [math]y[/math] when [math]x[/math] is 2.3? Round to 3 decimal places.[br]
How does the estimated value compare to the actual value from the table when [math]x[/math] is 2.3?[br]
How does the estimated value compare to the actual value from the table when [math]x[/math] is 3?[br]
Which of these scatter plots are best fit by the shown linear model?
A seed is planted in a glass pot and its height is measured in centimeters every day.
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[/img][br][br][size=150]The best fit line is given by the equation [math]y=0.404x-5.18[/math], where [math]y[/math] represents the height of the plant above ground level, and [math]x[/math] represents the number of days since it was planted.[/size][br][br]What is the slope of the best fit line? What does the slope of the line mean in this situation? Is it reasonable?
What is the [math]y[/math]-intercept of the best fit line? What does the [math]y[/math]-intercept of the line mean in this situation? Is it reasonable?
At a restaurant, the total bill and the percentage of the bill left as a tip is represented in the scatter plot.
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[/img][br][br][size=150]The best fit line is represented by the equation [math]y=-0.632x+27.1[/math], where [math]x[/math] represents the total bill in dollars, and [math]y[/math] represents the percentage of the bill left as a tip.[/size][br][br]What does the best fit line estimate for the percentage of the bill left as a tip when the bill is $15? Is this reasonable?[br]
What does the best fit line predict for the percentage of the bill left as a tip when the bill is $50? Is this reasonable?[br]
A recent study investigated the amount of battery life remaining in alkaline batteries of different ages.
[size=150]The scatter-plot shows this relationship between the different alkaline batteries tested.[/size][br][img]data:image/png;base64,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[/img][br][br]The scatter plot includes a point at [math]\left(7,15\right)[/math]. Describe the meaning of this point in this situation.
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Information: IM Alg1.3.5 Practice: Fitting Lines