1.A researcher wants to see if the amount of water a person drinks relates to thetemperature outside.●(F)Use SPSS to calculate the correlation and create a scatterplot for the data.Provide the output from SPSS.Describe this relationship (both strength and direction, and in layman's terms).Discuss if these variables truly related or could there be a third variable at play.Report the findings in APA format.Temperature Water7284878097909985877765988997789284718878consumption(oz)1523282137484833352214224145194138232917SPSS Output (Correlation Matrix and Scatterplot):Describe the relationship in non-technical terms and any potential third variables:Report the Correlation in APA format:

Given Information: Consider the given dataset: Temperature Water consumption 72 15 84 23 87…

Answered: 1. ● (F) ● A researcher wants to see if…

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 researcher is interested in whether the variation in the size of human beings is proportional throughout each part of the human. To partly answer this question they looked at the correlation between the foot length (in millimeters) and height (in centimeters) of 30 randomly selected adult males. The data is provided below. Use Excel to calculate the correlation coefficient r between the two data sets. Round your answer to two decimal places. Foot length (mm) Height length (cm) 269.1 188.6 245.7 177.5 272.7 166.9 271.8 155.1 273.9 144.3 274.7 133.8 255.7 122.6 276.5 157.4 279.6 145.9 280.1 135.6 281.9 123.5 HelpCopy to ClipboardDownload CSV
The table shows the number of absences, x, in a class and the final exam grade, y, for seven students. X 1 0 2 6 4 3 3 Y 95 90 90 55 70 80 85 Use the graphing calculator to find the correlation coefficient. (Round answer to three decimal places. Do not write 0.123 as.123.)
This table shows the minutes students spent studying for their science exam and the scores they received. Study time (min) 19 12 34 10 17 42 60 15 9 21 30 50 Exam score 82 78 90 78 85 97 100 85 73 90 91 98 Use a graphing calculator to model the data using a linear function. What is the correlation coefficient of the data? −0.74 −0.48 0.93 0.98
Calculate the coefficient of correlation from the following data by the Spearman's Rank difference method : Price of Tea ($.) Price of Coffee ($.) Price Of Tea ($.) Price of Coffee ($.) 75 120 60 110 88 134 80 140 95 150 81 142 70 115 50 100
Use a graphing calculator to find the equation of the line of best fit for the data in the table below. Find the value of the correlation coefficient r. Then predict the number of movie tickets sold in 2014 Year Tickets Sold (millions) 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 1281 1300 1306 1321 1358 1380 1389 1416 1448 1454 C... Find the equation of the line of best fit. Round to two decimal places as needed. Choose the correct answer below C A. y=20.42x - 39,522.11 O B. y= - 39,522.11 O D. y= - 39,522.11x + 20.42 O C. y= 20.42x + 39,522.11 The correlation coefficient r is (Round to three decimal places as needed.) (1,1) More Clear all Get more help - Help me solve this View an example 65°F a P Type here to search
The data below was collected from manufacturer advertisements of their vehicles horsepower (x) and highway gas mileage (mpg=y). Use this data to answer the following questions. horsepower 146 250 340 350 390 190 220 mpg 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). Record the p-value below. Round to four decimal places.p-value==2. Is there a linear correlation between horsepower and highway gas mileage (mpg)? 3. If there is a linear correlation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. Be careful with your sign.r=r= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places.ˆy=y^=5. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225. Round your final answer to two decimal…
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
3. The speed (in miles per hour) of 8 vehicles and their braking distance (in feet) when stopping on a dry surface speed, x braking distance, y 20 30 40 50 50 60 65 70 55 72 75 110 138 162 193 225 type of correlation: Conclusion
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Given the graph below, what type of correlation would you predict there is between the variables? CAR PRICE DEPENDING ON AGE Price (dollars) 10000 9000 8000 7000 6000 5000 4000 3000 2000 1000- 4. 10 Age (years) O Positive correlation O Negative correlation O No correlation
Give an example of two variables that have a positive linear correlation. Give an example of two variables that have a negative linear correlation. Give an example of two variables that have no correlation. Below is the height in inches and weight in pounds of eleven individuals Height, x 62 63 66 68 70 72 73 74 74 75 75 Weight, y 195 190 250 220 250 255 260 275 280 295 300 x = 65 inches x = 69 inches x = 71 inches

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