Concession Stand Sales Data
Hour |
Number of Hamburgers Sold (X) |
Number of Hot Dogs Sold (Y) |
1 |
3 |
2 |
2 |
5 |
5 |
3 |
6 |
3 |
4 |
2 |
6 |
5 |
4 |
6 |
6 |
3 |
5 |
7 |
7 |
4 |
8 |
2 |
4 |
Construct the scatterplot of these data pairs, and place the least-squares linear regression line of best fit on the graph. Label the graph axes , line and data pairs clearly and thoroughly. Round the regression line coefficients to two decimal places.
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The manager of a small concession stand kept track of the number of hamburgers that she...
The concession stand at a school basketball tournament sells hot dogs, hamburgers, and chicken sandwiches. During one game, the stand sold 16 hot dogs, 14 hamburgers, and 8 chicken sandwiches for a total of $105.00. During a second game, the stand sold 10 hot dogs, 13 hamburgers, and 5 chicken sandwiches for a total of $76.25. During a third game, the stand sold 4 hot dogs, 7 hamburgers, and 7 chicken sandwiches for a total of $56.25. Determine the price...
Problem 1 (20). The following table has different combinations of hamburgers and hot dogs that Alex can buy Combination Hamburgers Hot dogs A 0 8 B 1 6 C 2 4 D 3 2 E 4 0 Graph Alex’s budget line, putting hot dogs on the X-axis Alex’s income is $8 per day. What is the price of a hot dog? Of a hamburger? What is the slope of the budget line?
10) The manager at a local Best Buy store kept track of daily sales of the iPhone 6 when it was first introduced. He noticed that sales were very high at first, but showed a steady decrease. For example, on day 5 after the phones first went on sale, the store sold 248 iPhone 6’s, but on day 10 after the phones first went on sale, the store sold only 163 iPhone 6’s. Assume that the relationship between number of...
# Part 3) PRICE 'ELASTICITY' (8 points) You are a financial manager for a unit within a textile company that specializes in zippers, buttons and other fasteners. Your area Vice President gives you the last 16 weeks of sales data for a recently launched product, the Elastiband 2.0 (units sold are in thousands). She asks you to analyze the data and provide a reliable sales forecast for the next four weeks. For your convenience, this data is provided in an...
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Use the data shown in the table that shows the number of bacteria present after a certain number of hours. Replace each y-value in the table with its logarithm, log y. Find the equation of the regression line for the transformed data. Then construct a scatterplot of left parenthesis x comma log y right parenthesis and sketch the regression line with it. What do you notice? Number of hours comma x 1 2 3 4 5 6 7 Number of...
@ 0 Time and Bacteria Count 0 Hours 8 Ours Number of hours, x 2 3 4 5 Number of bacteria, y 167 278 468 783 1314 1927 4910 6 7 Print Done Question Help The accompanying data show the number of bacteria present for a certain number of hours. Find the equation of the regression line for the data. Then construct a scatter plot of (x) and sketch the regression line with Click the icon to view the table...
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A psychologist wants to determine if there is a linear relationship between the number of hours a person goes without sleep and the number of mistakes he/she makes on a simple test. The following data is recorded. Determine the equation of the regression line and graph the line on a scatter plot. Hours without Sleep, x Number of Mistakes, y x y 32 6 38 8 48 13 24 5 46 7 35 6 30 5 34 8 42 12...
Consider the dataset below for lead residue as an effect of number of pistons in an engine: Number of Pistons Lead (Parts per Million) 2 (45) 4 (38) 6 (24) 8 (32) 10 (12) 12 (4) Using SPSS, create a scatterplot of the data, graph the least-squares regression line, and find the correlation. Are there any influential points (and how do you recognize them)? How many parts per million of lead should we expect when there are five pistons? Be...