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- Please help me solve this practice question, # of vacation days 5 3 9 2 50 22 7 3 2 2 6 4 0 15 0 15 0 3 20 8 6 5 0 0 1 1 H) Construct the box-and- whisker plot that represents the data. Format it and display the data label (Q1, Q2, Q3, …. ) on the boxplot I) Comment on the shape of the distribution(symmetric, left-skewed, right-skewed)A researcher measures the relationship between education (in years) and investment gains (in thousands of dollars). Answer the following questions based on the results provided. SP = 16.25. a. Create a scatter plot of the data & Calculate r and r2b. Report results in APA style & What do results mean? Education Investment Gains 14 8 12 11 9 10 18 14What can be inferred based on a comparison of both dot plots? A. A majority of the Softball Players have a height of 62 inches.B. The Softball and Basketball players are between 4-7 feet tallC. A majority of Basketball players are taller than 6 feet.D. The majority of Softball and Basketball players are both taller than 65 inches.
- A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 10 randomly selected hours. Defects (Y) Production rate per hour(X) 2 40 3 45 1 35 2 37 3 40 2 40 3 45 2 30 1 30 4 30 (a). Construct a scatter plot diagram and comment on the relationship between y and x (b). Calculate the correlation coefficient (r) between x and y and comment on the result. (c). Find the coefficient of determination and interpret the result.2. A researcher measures the relationship between education (in years) and investment gains (in thousands of dollars). Answer the following questions based on the results provided. SP = 16.25.a. Create a scatter plot of the datab. Calculate r and r2c. Report results in APA style.d. What do results meanA scatter plot is useful for identifying a linear relationship between the independent and dependent variable, but it is not particularly useful if the relationship is curvilinear. True b) False
- My data-price column 3850 3999 5289 5800 5995 6495 6823 6897 6980 6999 6999 7500 7995 8199 8883 8989 8995 9000 9800 9991 10999 11999 12212 12900 13490 14499 15849 17500 18723 20990 Using the price column, recall your box plot from Part 2 and compute the 5 number summary of your data. Find the z score that corresponds to the first quartile. What probability corresponds to this z score? Find the z score that corresponds to the third quartile. What probability corresponds to this z score? In your own words (using complete sentences) describe why these probabilities make sense. (Hint: How do the box plot and the z table relate to one another?)Which choice is true about the box plots above? a.Females have a higher maximum and males have a lower minimum. b.Males have a smaller interquartile range and females have a lower maximum. c.Females have a lower interquartile range while males have a higher median. d.Males have a higher range but a lower interquartile range.A back-to-back stem-and-leaf plot compares two data sets by using the same stems for each data set. Leaves for the first data set are on one side while leaves for the second data set are on the other side. The back-to-back stem-and-leaf plot available below shows the salaries (in thousands) of all lawyers at two small law firms. Complete parts (a) and (b) below. Key: 5 | 19 | 0=$195,000 for Law Firm A and $190,000 for Law Firm B Law Firm A Law Firm B 7 1 9 1 2 8 4 2 2 2 10 4 7 9 9 7 0 0 11 0 0 5 2 2 12 0 2 2 5 13 2 2 6 9 14 0 4 4 4 9 15 4 4 4 5 16 3 9 9 9 9 5 1 0 17 1 2 5 5 5 5 2 1 18 9 9 9 8 7 5 19 0 2 20 (a) What are the lowest and highest salaries at Law Firm A? at Law Firm B? How many lawyers are in each firm? At Law Firm A the lowest salary was $ and the highest salary was $ At Law Firm B the lowest salary was $ and the…
- A back-to-back stem-and-leaf plot compares two data sets by using the same stems for each data set. Leaves for the first data set are on one side while leaves for the second data set are on the other side. The back-to-back stem-and-leaf plot available below shows the salaries (in thousands) of all lawyers at two small law firms. Complete parts (a) and (b) below. Key: 5 | 19 | 0=$195,000 for Law Firm A and $190,000 for Law Firm B Law Firm A Law Firm B 7 1 9 1 3 9 5 1 1 1 10 5 8 9 9 6 1 1 11 1 1 4 2 2 12 0 2 2 5 13 2 2 6 9 14 0 3 3 3 9 15 4 4 4 5 16 3 8 8 8 8 6 1 0 17 1 2 6 5 5 5 2 1 18 9 9 9 8 7 5 19 0 2 20 a) What are the lowest and highest salaries at Law Firm A? at Law Firm B? How many lawyers are in each firm? At Law Firm A the lowest salary was $_________and the highest salary was $_______. At Law Firm B the lowest salary was $_________and…The maximum discount value of the Entertainment® card for the “Fine Dining” section, Edition 10, for various pages is given below. Page number Maximum value ($)4 1614 1925 1532 1743 1957 1572 1685 1590 17a) Decide which variable should be the independent variable and which should be the dependent variable. Justify your choice. b) Draw a scatter plot of the ordered pairs. c) Does it appear that the restaurants giving the maximum value are placed in the beginning of the “Fine Dining” section? How did you arrive at your answer? d) What is the slope of the least squares (best-fit) line? Interpret the slope. e) What is the intercept of the least squares (best-fit) line? Interpret the intercept. f) Write down the equation for the least squares line. Interpret your equation. g) Find the estimated maximum…A study was conducted to detemine whether a the final grade of a student in an introductory psychology course is linearly related to his or her performance on the verbal ability test administered before college entrance. The verbal scores and final grades for 1010 students are shown in the table below. Student Verbal Score x Final Grade y 1 56 64 2 45 51 3 49 58 4 38 43 5 53 60 6 48 58 7 55 67 8 52 60 9 26 35 10 65 80 Find the least squares line. y^= Should the regression be used to predict the final grade of a student with a verbal score of 100?