AASIGNMENT 1CORRELATION1. Find the co-efficient of correlation between sales and expenses of thefollowing ten firmsFirm1 2345678910Sales50Expenses 115055606565656050136013161416151514132. The table below shows the height, x, in inches and the pulse rate, y, perminute, for 9 people. Find the correlation coefficient and interpretyourresult.6570 6268726872757864y908588100 1059870653. The time x in years that an employee spent ata company and theemployee's hourly pay, y, for 5 employees are listed in the table below.Calculate and interpret the correlation coefficientr.3421103515y2520384. The graph below represents each individual's weight and correspondingblood pressure. Calculate and interpret the correlation coefficient r.Weight150PersonBlood PressureA125B169130C.175160D180169E2001505. The following graph shows the regression model for age andsalary. Calculate and interpret the correlation coefficient r.PersonAge18Salary15000AB21600002435000D3075000E4595000

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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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The authors of a paper presented a correlation analysis to investigate the relationship between maximal lactate level x and muscular endurance y. The accompanying data was read from a plot in the paper. X 390 740 760 y 3.90 r 3.90 5.00 5.30 4.10 3.60 6.20 OH₂: P = 0 Ha: P 0 1,465 1,470 1,495 2,190 t = P-value = 6.98 7.45 4.85 7.70 4.55 6.70 8.80 OH₂: P = 0 H₂: P = 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) State the conclusion in the problem context. O Fail to reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. Reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. O Fail to reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. O Reject Ho. A…
The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. % Working 67 45 73 54 61 % Management 50 23 63 47 34 (a) Develop a scatter diagram for these data with the percentage of women working in the company as the independent variable. A scatter diagram has 5 points plotted on it. The horizontal axis ranges from 40 to 75 and is labeled: % Working. The vertical axis ranges from 0 to 70 and is labeled: % Management. The first three points are plotted from left to right in an downward, diagonal direction starting in the upper left corner of the diagram. The fourth point extends upward in a diagonal direction to the right. The last point then extends downward from the fourth point in a diagonal direction to the right. The points are between 23 to 63 on the vertical axis. A scatter diagram has 5 points plotted on it. The horizontal axis ranges…
Suppose you pulled info regarding the sex of the victim and offender for murders in the United States. The data look something like this: Sex of Vic. Sex of Off. F M F 124 421 M 1609 3725 Assume that the sex of the victim is the response variable. What is the relative risk of being killed by female offender for male victims?
A group of farmer wants to know the correlation between the certain amount of fertilizer and the crops yield. With the same land area and different amount of fertilizer yields the following crops. Fertilizer 23 18 15 12 13 14 15 23 20 20 19 22 12 10 16 crops 78 66 54 48 65 71 77 57 69 74 56 60 54 59 63 Does it appear there is relationship between the fertilizer and crops? Compute the coefficient of correlation. Determine at 0.05 level of significance whether the correlation is greater than zero.
The following table shows the values of the age and the job satisfaction of ice cream shop employees Employee Age Job Satisfaction16 918 920 722 824 426 528 626 524 722 8 d. Sketch a scatterplot of this data by hand (do NOT use/submit any plots created by a program).e. Does there appear to be a linear relationship between the two variables? f. Calculate the slope for this data.
The below data represent the advertising expenditure and sales of Little Liu Ltd from year 2008 to 2017. Table: Advertising Expenditure vs. Sales from 2008 to 2017 Year Advert. Expenditure Sales (x, £000) (y, £000) 2008 8 30 2009 12 40 2010 11 29 2011 5 29 2012 14 43 2013 3 17 2014 6 20 2015 8 30 2016 4 22 2017 9 40 Total 80 300 Figure: Scatter Diagram of Advertising Expenditure and Sales with Trend line ( See picture) What is the statistical relationship shown in the Figure and list out 3 characteristics of this relationship? 2. Work out the values of parameters of the relationship shown in the Figure (i.e. work out the equation of the relationship). 3.Explain the relationship and make recommendations to Little Liu Ltd based on the information given.

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CORRELATION 1. Find the co-efficient of correlation between sales and expenses of the following ten firms Firm 1 2 Sales Expenses 11 4 5 6 7 65 60 3 8 9 10 50 50 55 60 65 65 60 50 13 14 16 16 15 15 14 13 13 2. The table below shows the height, x,in inches and the pulse rate, y, per