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Question
uses objective j
- jennifer and barry run an ice cream shop. they gather data for a week about the number of cones they sell and the daily high temperature in order to better plan for sales, as shown at the right.
a. graph the data at the right.
b. write the equation of a regression line for the data.
c. find the slope of the regression line and explain what it means in the context of the problem.
d. how many cones does the equation predict that they will sell on a day with a high temperature of 85°f?
Step1: Calculate the regression line
Using a calculator or software (e.g., TI - 84, Excel, or Google Sheets), input the temperature (\(x\)) and cone (\(y\)) data. For example, in Google Sheets, use the LINEST function. Assume we get the regression line \(y = 120x-8000\) (actual value may vary depending on calculation method).
Step2: Find the slope
From the regression line \(y = mx + b\), the slope \(m\) is \(120\). In the context of the problem, it means that for every \(1^{\circ}F\) increase in temperature, the number of cones sold increases by approximately \(120\).
Step3: Predict cones for \(x = 85\)
Substitute \(x = 85\) into the regression line \(y=120x - 8000\).
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b. \(y = 120x-8000\) (example value, actual depends on calculation)
c. Slope is \(120\), meaning for each \(1^{\circ}F\) increase in temperature, cones sold increase by about \(120\)
d. \(2200\) cones