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- Transcribed Image Text:1. The distance travelled (in kilometres) by a courier service motorcycle on 40 trips were recorded by the driver. 24 19 21 27 20 17 17 32 22 26 18 13 23 30 10 13 18 22 34 16 18 23 15 19 28 25 25 20 17 15 10 11 12 13 14 09 08 07 06 05 c) From the graphs in question (b (iii and iv)), read off: - i) What percentage of trips were between 25 and 30 km long? ii) What percentage of trips were under 25 km? ii) What percentage of trips were 22 km or more? iv) Below which distance were 55% of the trips made? v) Above which distance were 20% of the trips made? d) From the frequency distribution table: i) Pearson's coefficient of skewness. i) Bowley's coefficient of skewness. e) From ungrouped data above Plot the stem and leaf. Show the diagram f) From ungrouped data above, draw Box and Wisker & From an examination of the fence find Outliers, extreme values and interpret. Show all calculations.The data (Table 1) show the lists of sugar consumption (kg per capita) and the number of diabetes patients (per million people) for selected countries. Table 1: Sugar consumption and diabetes patients Sugar diabetes patients 5 6 4 4 5 a) b) 6 9 3 2 11 Construct a scatter plot, and comment on the features of the plot. Does there appear to be a linear relationship between the two variables? How would you characterize the relationship? c) Compute the value of the correlation coefficient. Is the value of r consistent with your answer to part (b)? d) Is it reasonable to conclude that by sugar consumption against the number of diabetes patients? Explain.iation). 7) a) Use two points from this line to write the equation of the line representing this data. First Point ( Second Point( Number of Classes Per Week Equation: eek if they have 12 classes. b) Predict the numbers of hours a student spends studying per Explain or show how you determined this. Hours Spent Studying Per Week
- Calculate the coefficient of skewness from the data as follows. Hours No. of Tubes 300-400 14 400-500 46 500-600 58 600-700 76 700-800 68 800-900 62 900-1000 48 1000-1100 22 1100-1200 63.2) Give the distance (in miles) between town and James’ house. 3.3) Name the dependent and independent variables from the graph. a) Dependent variable. b) Independent variable. 3.4) How many times does James stop on his trip, including his stop in town?We'll look at the Galton data frame from the mosaicData package: data(Galton)View(Galton)help(Galton) Here's a scatterplot of the heights of the mothers and the heights of their children: ***(YOU MUST CREATE THE SCATTERPLOT FROM INFO GIVEN) We would like to use the data to predict the height of a child from the height of her mother. As described in class and in the Course Notes, use the predict() function to predict the height of a child (the time of Galtons' study) if the child's mother was known to be 64 inches tall. Record your answer (without units) as a decimal number, correct to at least two decimal places. _______________________
- Consider the below data set: x 75 80 93 65 87 71 98 68 84 77y 82 78 86 72 91 80 95 72 89 74 (a) Fit the straight line curve to the data(b) Predict the value of y when x = 80Distance (m) 120 100 80 60 40 20 0 20 40 Junipers Bagworm 60 80 R² = 0.1041 100 # of Bagworms 120 * Deciduous Evergreen AR² = 0.0714 140 1601) The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs Number of Hours Playing Video Games GPA (per week) 42 38 32 26 23 19 15 0.2 0.9 1.0 1.1 1.2 2.5 3.0 a) Create a scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation. b) What kind of correlation is this? c) Is this more of a linear or exponential model? Why? d) Predict the standard GPA if a student spends one hour a week playing video games.
- Give a brief analysis on the graph given in the picture by using the data (Dominant behaviors of reisdent male towards female and male intruder)a) Find the equation of the line which is the best fit for the data, with x equal to the number of years after 1999 and y equal to the millions of people b) Ise the model to estimate the number of people who took trips in 2008.The following table shows the length, in centimeters, of the humerus and the total wingspan, in centimeters, of several pterosaurs, which are extinct flying reptiles. (A graphing calculator is recommended.) Pterosaur Data Humerus, x Wingspan, y Humerus, X Wingspan, y 26 685 29 690 31 702 35 717 25 681 24 646 23 631 21 622 19 614 16 508 1.4 40 1.3 33 1.2 30 1.0 28 0.8 26 (a) Find the equation of the least-squares regression line for the data. Round constants to the nearest hundredth. (b) Use the equation from part (a) to determine, to the nearest centimeter, the projected wingspan of a pterosaur if its humerus is 52 centimeters. cm Need Help? Read It
