The scatter plot shows the number of hours worked and money spent on entertainment by each of 25 students. Also shown is the line of best fit for the data.Fill in the blanks below.7065-60-55-Amount of50-money spent on40-entertainment35-(in dollars)30-25-20-1510-5+x1014161820Number of hours worked(a) For these 25 students, as the number of hours increases, the amount of money spent tends to (Choose one)increase.decrease.stay the same.t ofcorrelation between the number of hours wor(b) For these 25 students, there is (Choose one)money spent.(c) Using the line of best fit, we would predict that a student working 12 hours would spend approximately (Choose one) ▼

Note: As Correlation is a statistical measure that describes the size and direction of a…

Answered: The scatter plot shows the number of…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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A high school has 44 players on the football team. The summary of the players' weights is given in the box plot. Approximately, what is the percentage of players weighing greater than or equal to 234 pounds? 166 203 234 154 256 - 0o 150 160 170 180 | 190 200 210 220 230 240 250 260 270 00 Weight (in pounds)
What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these ranges, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 25 and 50: ________________________ Actual percentage: Predicted percentage more than 50 miles: Actual percentage: ___________________________________________ Comparison ____________________________________________________ Why? __________________________________________________________ Drive: 44 20 88 6 71 42 76 63 61 63 84 28 55 33 88 80 86 83 5 85 25 25 54 54 81 73 29 76 78…
A retailer wants to see if a red "Sale" sign brings in more revenue than the same "Sale" sign in blue. The data below shows the revenue in thousands of dollars that was achieved for various days when the retailer decided to put the red "Sale" sign up and days when the retailer decided to put the blue "Sale" sign up. Red: 2.7, 2.6, 1.1, 4.2, 2.6, 3.4, 2.3, 2.9, 4, 2.6 Blue: 2.2, 1, 2.8, 1.6, 0.6, 0.9, 1, 1.7, 3.4 Assume that both populations follow a normal distribution. What can be concluded at the a = 0.01 level of significance level of significance? b. The test statistic t î = (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.)
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