Concept explainers
Sketch the graphs of the following pdfs and find and sketch the graphs of the cdfs associated with these distributions (note carefully the relationship between the shape of the graph of the
(a)
(b)
(c)
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- Compute the value of correlation coefficient of using data in table 1 for the number of hrs. a person works per week and thenumber of accidents or injuries that the person has over a peroid of one week. Table :1 Hrs.Worked ( x ) No. of accidents( y ) 30 2 42 3 25 4 44 8 56 5arrow_forwardKahl Co wants to know whether there is a correlation between the number of labour hours worked (x) and the value of factory overheads (y). The following figures have been calculated: [x 89 1,063 1,047 150,251 12,475 8 Exy n Which of the following statements is/are correct? (1) The correlation coefficient is 0.9 (to one decimal place) (2) 90% of the variation in factory overheads is explained by changes in the number of labour hours worked 2 only [x² 01 only Both 1 and 2 Neither 1 nor 2arrow_forward(a) Establish the following relationship for coefficient of correlation, Cou(x,y)! where the symbols have their usualmeaning. From above relationship, derive the expression of rank correlation coefficient.arrow_forward
- A study was done to investigate the relationship between amount of protix (a new protein-vitamin•-mineral supplement) org a fortified- vitamin rice, known as FVR, and the gain in weight of children. Ten randomly chosen sections of grade one pupils were fed with FVR containing protix; different amounts X of protix were used for the 10 sections. The increase in the weight of each child was measured after a given period. The average gain Y in weight for each section with a prescribed protix level x is as follows; Section(i) Protix(X) Gain(Y) Section(i) Protix(X) Gain(Y) 1 2 3 4 5 50 60 70 80 90 91.6 96.5 95.5 101.3 104.8 6 7 8 9 10 100 110 120 130 140 105.2 107.9 107.4 109.2 109.8 Compute the prediction equation to predict the gain in the weight of a child.arrow_forwardThe following scatterplot shows the mean annual carbon dioxide (CO,) in parts (CO2) per million (ppm) measured at the top of a mountain and the mean annual air temperature over both land and sea across the globe, in degrees Celsius (C). Complete parts a through h on the right. f) View the accompanying scatterplot of the residuals vs. CO2. Does the scatterplot of the residuals vs. CO, show evidence of the violation of any assumptions behind the regression? 16.800 A. Yes, the outlier condition is violated. 16.725 O B. Yes, the linearity and equal variance assumptions are violated. 16.650 C. Yes, the equal variance assumption is violated. 16.575 O D. No, all assumptioris are okay. 16.500 O E. Yes, all the assumptions are violated. 325.0 337.5 350.0 362.5 CO2 (ppm) OF Yes, the linearity assumption is violated. his vear, What mean temperature doesarrow_forwardSuppose that there is a correlation of r= 0.41 between the amount of time that each student reports studying for an exam and the student's grade on the exam. This correlation would mean that there is a tendency for people who study more to get better grades.arrow_forward
- Is the given formula for correlation true? Explain why or why notarrow_forwardWhen calculating a correlation coefficient between two continuous variables, the scales on which the variables are measured affect the value of the correlation coefficient. True or Falsearrow_forward10) A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.767 b=31.009 r2=0.609961 r=-0.781 Use this to predict the number of situps a person who watches 7.5 hours of TV can do (to one decimal place)arrow_forward
- What is the symbol for the residual?arrow_forwardAfter a first-order model was fitted to the data, the coefficient of correlation between the usage in hours per week (x) of a particular brand of computer and the maintenance cost of the computer (y) is calculated as 0.84. Interpret the value of the coefficient of determination.arrow_forward. Consider the scatterplot and least-squares regression line shown here. 20000+ 15000+ 10000+ y 5000- of -5000- 0 1 2 3 4 5 6 7 8 9 10 xarrow_forward
- A First Course in Probability (10th Edition)ProbabilityISBN:9780134753119Author:Sheldon RossPublisher:PEARSON