Math Problem Statement
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Topic 7 Homework (Nonadaptive) Question 7 of 16 (1 point)|Question Attempt: 1 of Unlimited
Dennis
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Question 7 You are the owner of Fast Break, a popular local place that sells drinks, snacks, and sandwiches. For inventory management purposes, you are examining how the weather affects the amount of hot chocolate sold in a day. You are going to gather a random sample of 9 days showing that day's high temperature (denoted by x, in °C) and the amount of hot chocolate sold that day (denoted by y, in liters). You will also note the product ·xy of the temperature and amount of hot chocolate sold for each day. (These products are written in the row labeled "xy"). (a)Click on "Take Sample" to see the results for your random sample.
Take Sample High temperature, x (in °C) Amount of hot chocolate sold, y (in liters) xy
Send data to calculator
Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimal places. When you are done, select "Compute". (In the table below, n is the sample size and the symbol Σxy means the sum of the values xy.)
n: x: y: sx: sy: Σxy:
Compute Sample correlation coefficient (r): Slope (b1): y-intercept (b0):
(b)Write the equation of the least-squares regression line for your data. Then on the scatter plot for your data, graph this regression equation by plotting two points and then drawing the line through them. Round each coordinate to three decimal places. Regression equation: y=
Amount of hot chocolate sold (in liters) y24681012141618202224x3691215182124273033360
High temperature (in °C)
(c)Use your regression equation to predict the amount of hot chocolate sold on a day with a high temperature of 19 °C. Round your answer to the nearest whole number. Predicted amount of hot chocolate sold: liters
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Submit Assignment © 2024 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility Clears your work. Undoes your last action. Tool to erase one or more objects from the graph. Tool to plot one or more points on the graph by using the arrow keys to navigate. Tool to plot one or more points on the graph by using the arrow keys to navigate. Tool to draw a line on the graph. Tool to plot one or more points on the graph by entering their coordinates.
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Math Problem Analysis
Mathematical Concepts
Statistics
Linear Regression
Correlation
Prediction
Formulas
Sample correlation coefficient formula: r = (nΣxy - ΣxΣy) / √[(nΣx² - (Σx)²)(nΣy² - (Σy)²)]
Slope of the regression line: b1 = r(sy/sx)
Y-intercept of the regression line: b0 = ȳ - b1x̄
Least-squares regression line: y = b0 + b1x
Theorems
Least-Squares Regression Theorem
Pearson Correlation Coefficient
Suitable Grade Level
College/University Level (Statistics)
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