1. A publisher of books has produced five comparable Statistical Management books with the following costs. Both values are in thousands. Quantity produced (x000) 1 2 4 5 7 Manufacturing Cost (x000) 5.9 6.5 7.5 8 a) Calculate the correlation coefficient for the association between quantity produced and manufacturing cost. b) produced. c) quantity produced is 12000 copies. Calculate the regression line for predicting manufacturing costs from quality Predict the manufacturing cost of an eighth statistics book if the expected

1. A publisher of books has produced five comparable Statistical Management books with the following costs. Both values are in thousands. Quantity produced (x000) 1 2 4 5 7 Manufacturing Cost (x000) 5.9 6.5 7.5 8 a) Calculate the correlation coefficient for the association between quantity produced and manufacturing cost. b) produced. c) quantity produced is 12000 copies. Calculate the regression line for predicting manufacturing costs from quality Predict the manufacturing cost of an eighth statistics book if the expected

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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12 young batsmen practiced batting at the nets for varying periods of time, and their dot ball percentage was calculated at the end of the month: Practice time per month (in hr) 43 30 55 12 28 37 41 48 34 18 24 62 Dot ball percentage 18 29 15 54 43 24 22 16 34 56 47 13 a) Find the relationship between dot ball percentage and practice time per month using a scatter diagram and interpret. b) Find correlation coefficient and comment. c) Fit a least square regression equation (line) of dot ball percentage on practice time per month and comment. d) What will be the dot ball percentage when practice time per month is 32hr? e) Comment on the regression equation and explore how well it fits.
Listed below are numbers of enrolled students (in thousands) and number of campus burglaries from a random sample of large colleges in 2017. A) Is there sufficient evidence at alpha= 0.05 to conclude that there is a linear correlation between enrollment and burglaries?( Justify using statistics) B) After finding the undergraduate enrollment for a university in 2019, use it to predict the number of estimated burglaries on campus. Undergrad Enrollment in 2019: (in thousands). Equation used for estimate: what is the estimated number of burglaries? Enrollment 32 31 53 28 27 66 42 30 34 65 Burgalaries 94 83 86 47 32 131 157 20 27 141
A survey on lamb farms was conducted and data were collected on the followingvariables from a random sample of 30 farmers.Y = average live weight of ewes (kg)X1 = area of grazing land (m2) X2 = proportion of farm area that cannot be cultivatedX3 = proportion of area closed for lambs before weaning True or False1. About the computed correlation coefficients?a. weak positive linear relationship between average live weight of ewes and proportion offarm area that cannot be cultivated. b.very weak negative linear relationship between average live weight of ewes and area ofgrazing land. c. Both are Trued. Both are False
McDonald and Dunn (2013) measured the correlation of transferrin (labeled red) and Rab-10 (labeled green) in five cells. The biological null hypothesis is that transferrin and Rab-10 are not colocalized (found in the same subcellular structures), so the statistical null hypothesis is that the correlation coefficient between red and green signals in each cell image has a mean of zero. The correlation coefficients were 0.52, 0.20, 0.59, 0.62 and 0.60 in the five cells. The mean is 0.51 Calculate the descriptive statistic. What is the null hypothesis for a t test here? Calculate t test. What is your conclusion regarding H0?
A well-known multinational FMCG produces more than fifty products and sells them in themarket. Out of fifty products one is mineral water for drinking purpose and supplies differentsize pack bottles in the market. Product manager observed that, during hot days the sale of wateris more as compared to the normal days. He started the collection of data of weekly sale of waterand the average weekly temperature.Product manager was interested in developing a relationship between sales and temperature;therefore, he discussed and shared the following data with you. sales 7577696379807770738772738080698477727481 temperature 3236313134293235283130312935362832333233 Sale is in thousand liters and temperature is in degree Celsius. Data is Normally distributedYou are required to determine the following information for some concrete decision: a. Determine the statistical relationship between temperature and sale of water andinterpret.b. How much change in sales if the temperature…
A survey of 28 employed workers found that the correlation coefficient between the number of years of post-secondary education and current annual income in dollars is -0.38. The researchers hypothesize a positive relationship between number of years of post-secondary education and annual income. What can the researchers conclude with α = 0.05? a) Obtain/compute the appropriate values to make a decision about H0. critical value= test statistic= b) effect size= C) 1)There is a significant positive relationship between years of post-secondary education and current annual income. 2)There is a significant negative relationship between years of post-secondary education and current annual income. 3) There is no significant relationship between years of post-secondary education and current annual income.
The director of an obesity clinic in a large northwestern city believes that drinking soft drinks contribute to obesity in children. To determine whether a relationship exists between these two variables, she conducts the following pilot study. Eight- 12-year-old male volunteers are randomly selected from children attending a local junior high school. Parents of the children are asked to monitor the number of soft drinks consumed by their child over a one week period. The children are weighed at the end of the week and their weights converted into body mass index (BMI) values. The BMI is a common index used to measure obesity and takes into account both height and weight. An individual is considered obese if they have a BMI value 30. The following data or collected: child. # of soft drinks consumed BMI 1 3 20 2 1 18 3…
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A researcher hypothesizes that there is a positive correlation between the hours spent studying and the final exam score. They collect data from 20 students and compute the Pearson correlation coefficient, r, to be 0.75. Using a significance level of 0.05, test the hypothesis that there is a significant correlation between the hours spent studying and the final exam score.