The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are shown in the attached data table with a sample correlation coefficient rof 0.900. Remove the data entry for the man who is 50 years old and has a systolic blood pressure of 201 millimeters of mercury from the data set and find the newcorrelation coefficient. Describe how this affects the correlation coefficient r. Use technology.Click the icon to view the data set.Data Table1.The new correlation coefficient rgoing from 0.900 to |(Round to three decimal places as needed.)Systolic bloodAge, xpressure, ythis cyc1610912/24/12412214539stion131462015018264stions1997029130ng Quest5817711822ered Quected QuestDonePrintEnter your answer in the answer box.chtvDECMacBook ProDIIF11F10F9F8F7...

Given informationThe ages of 10 men and their systolic pressure are given in table, and their…

Answered: The ages (in years) of 10 men and their…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A website that reviews recent movies lists 6 five-star films (the highest rating), 17 four-star films, 12 three-star films, 9 two-star films, and 6 one-star films. Make a frequency table for the data set. Include columns for relative frequency and cumulative frequency. Complete the table. (Type integers or decimals rounded to the nearest tenth as needed.) Stars Frequency Relative frequency Cumulative frequency 5 %
A study is conducted to find the relationship between the amount of saturated fat consumed and cholesterol level. Determine if there is a relationship between saturated fat consumption and cholesterol level, and what type. If a correlation is found, predict the cholesterol level when saturated fat consumption is found to be 8.5 grams. Saturated Fat: 6.8, 5.5, 8.2, 10, 8.6, 9.1, 8.6, 10.4 Cholesterol Level: 186, 201, 193, 283, 222, 250, 190, 218
Decide whether the variables represented by the scatter plots below are positively or negatively correlated. Use P for positively and N for Negatively.
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State the type of correlation between the number of hours students spend studying and the number of hours they spend watching television. Explain your answer.
Please see the attached image. The following data gives the number of hours 10 students spent studying and their corresponding grades on their midterm exams. Hours Spent Studying 0.5 1 2 2.5 3.5 4 4.5 5 5.5 6Midterm Grades 60 63 69 72 78 81 84 87 90 96 Step 1. Draw a scatter plot of the given data. Step 2. Estimate the correlation in words: (positive, negative, no correlation). Step 3. Calculate the correlation coefficient, �. Round your answer to three decimal places.Answer: ____________________
EQuestion Help The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are shown in the attached data table with a sample correlation coefficient r of 0.899. Remove the data entry for the man who is 50 years old and has a systolic blood pressure of 200 millimeters of mercury from the data set and find the new correlation coefficient. Describe how this affects the correlation coefficient r. Use technology E Click the icon to view the data set. The new correlation coefficient r gets stronger, going from 0.899 to (Round to three decimal places as needed.) Data Table Age, x Systolic blood pressure, y 16 109 26 121 38 141 46 131 50 200 65 182 69 198 More 32 129 56 175 Enter your answer in the answer box 119 23
Determine whether the data would have a positive, negative, or no correlation. 19. The number of songs on an iPod vs. its remaining storage. 20. The age of a car vs. its odometer reading. 21. The height of a high school student vs. their SAT score.
Explain if it is possible to obtain a negative value for SS (e.g. when calculating variability for something like temperature). MacBook Air
Because colas tend to replace healthier beverages and colas contain caffeine and phosphoric acid, researchers wanted to know whether cola consumption is associated with lower bone mineral density in women. The accompanying data lists the typical number of cans of cola consumed in a week and the femoral neck bone mineral density for a sample of 15 women. Complete parts (a) through (f) below. Click the icon to view the women's data. (a) Find the leas ŷ=x+ X (Round to four d Colas per Week and Bone Density colas per week 0 0 1 1 2 2 33556670 4 8 Bone Mineral Density (g/cm³) 0.908 0.896 0.887 0.877 0.866 0.850 0.829 0.836 0.815 0.800 0.795 0.773 0.771 0.760 0.735 X
Identify the type of data that would be used when the variable of interest is most-watched TV show.
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